【AAAI】AAAI2020录用论文汇总（三） - 知乎

https://zhuanlan.zhihu.com/p/109969655

由于AAAI的接受论文官方尚未放出，而且放的也是出奇的慢，本文汇总了23日在arxiv上挂出来的AAAI2020文章，供你们挑选感兴趣的文章下载。前两部分能够看：

忆臻：【AAAI】AAAI2020录用论文汇总（一）​ zhuanlan.zhihu.com 忆臻：【AAAI】AAAI2020录用论文汇总（二）​ zhuanlan.zhihu.com

AAAI2020论文汇总（part 3）[401] Justification-Based Reliability in Machine Learning连接 | https://arxiv.org/pdf/1911.07391分类 | cs.LG stat.ML备注 | Extended version of paper accepted at AAAI 2020 with supplementary materials

[402] Leveraging Multi-view Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation连接 | https://arxiv.org/pdf/1911.07262分类 | cs.CV备注 | 27 pages, with supplementary material, to appear in AAAI 2020

[403] DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue连接 | https://arxiv.org/pdf/1911.07251分类 | cs.CV cs.CL备注 | Accepted by the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020)

[404] Learning Query Inseparable ELH Ontologies连接 | https://arxiv.org/pdf/1911.07229分类 | cs.AI备注 | AAAI 2020

[405] VCG Under Sybil (False-name) Attacks -- a Bayesian Analysis连接 | https://arxiv.org/pdf/1911.07210分类 | cs.GT备注 | This is an extended version of an article to appear in AAAI-2020. Supporting code for generating the article's figures can be found at https://github.com/yotam-gafni/vcg_bayesian_fnp

[406] Multi-Zone Unit for Recurrent Neural Networks连接 | https://arxiv.org/pdf/1911.07184分类 | cs.CL备注 | Accepted at AAAI 2020

[407] An Analysis Framework for Metric Voting based on LP Duality连接 | https://arxiv.org/pdf/1911.07162分类 | cs.GT cs.DM econ.TH备注 | 23 pages An abbreviated version appears in Proceedings of AAAI 2020

[408] Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction连接 | https://arxiv.org/pdf/1911.07156分类 | cs.SI cs.CL备注 | 8 pages, 7 figures, Accepted by AAAI 2020

[409] Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance连接 | https://arxiv.org/pdf/1911.07109分类 | cs.LG cs.AI cs.RO stat.ML备注 | Accepted to AAAI 2020. Xiaojian Ma and Mingxuan Jing contributed equally to this work

[410] Fair Division of Mixed Divisible and Indivisible Goods连接 | https://arxiv.org/pdf/1911.07048分类 | cs.GT cs.MA备注 | Appears in the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020

[411] Suspicion-Free Adversarial Attacks on Clustering Algorithms连接 | https://arxiv.org/pdf/1911.07015分类 | cs.LG stat.ML备注 | AAAI 2020 Main Technical Conference

[412] Dynamic Instance Normalization for Arbitrary Style Transfer连接 | https://arxiv.org/pdf/1911.06953分类 | cs.CV备注 | Accepted to AAAI 2020 (Oral)

[413] Unsupervised Attributed Multiplex Network Embedding连接 | https://arxiv.org/pdf/1911.06750分类 | cs.LG stat.ML备注 | AAAI 2020

[414] CatGAN: Category-aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation连接 | https://arxiv.org/pdf/1911.06641分类 | cs.CL cs.LG cs.NE备注 | 15 pages, 4 figures. Accepted by AAAI 2020

[415] Sequential Recommendation with Relation-Aware Kernelized Self-Attention连接 | https://arxiv.org/pdf/1911.06478分类 | cs.LG cs.IR stat.ML备注 | AAAI 2020

[416] CASTER: Predicting Drug Interactions with Chemical Substructure Representation连接 | https://arxiv.org/pdf/1911.06446分类 | cs.LG q-bio.QM stat.ML备注 | Accepted by AAAI 2020

[417] SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines连接 | https://arxiv.org/pdf/1911.06188分类 | cs.CV备注 | Accepted by AAAI 2020

[418] Adversarial Transformations for Semi-Supervised Learning连接 | https://arxiv.org/pdf/1911.06181分类 | cs.CV cs.LG备注 | Accepted by AAAI 2020

[419] Unsupervised Domain Adaptation on Reading Comprehension连接 | https://arxiv.org/pdf/1911.06137分类 | cs.CL cs.LG备注 | 9 pages, 6 figures, 5 tables, Accepted by AAAI 2020

[420] Supplementary material for Uncorrected least-squares temporal difference with lambda-return连接 | https://arxiv.org/pdf/1911.06057分类 | cs.LG stat.ML备注 | 9 pages, supplementary material for an AAAI-20 paper

[421] Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting连接 | https://arxiv.org/pdf/1911.05949分类 | cs.LG cs.DS cs.GT stat.ML备注 | Accepted to AAAI-20

[422] Progressive Feature Polishing Network for Salient Object Detection连接 | https://arxiv.org/pdf/1911.05942分类 | cs.CV cs.LG stat.ML备注 | Accepted by AAAI 2020

[423] Computing Equilibria in Binary Networked Public Goods Games连接 | https://arxiv.org/pdf/1911.05788分类 | cs.GT备注 | Accepted by AAAI 2020. Added acknowledgements information. Updated Proposition 2

[424] Contiguous Cake Cutting: Hardness Results and Approximation Algorithms连接 | https://arxiv.org/pdf/1911.05416分类 | cs.GT http://cs.CC cs.DS备注 | Appears in the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020

[425] CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion连接 | https://arxiv.org/pdf/1911.05377分类 | cs.CV备注 | Camera Ready Version. Accepted by AAAI 2020

[426] SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-world Verification连接 | https://arxiv.org/pdf/1911.05358分类 | cs.CV备注 | To appear in AAAI 2020

[427] Incentivized Exploration for Multi-Armed Bandits under Reward Drift连接 | https://arxiv.org/pdf/1911.05142分类 | cs.LG stat.ML备注 | 10 pages, 2 figures, AAAI 2020

[428] Learning Sparse Sharing Architectures for Multiple Tasks连接 | https://arxiv.org/pdf/1911.05034分类 | cs.CL cs.LG备注 | Accepted by AAAI 2020

[429] A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data连接 | https://arxiv.org/pdf/1911.04700分类 | cs.CL cs.AI cs.LG备注 | Long paper accepted at AAAI 2020

[430] PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network连接 | https://arxiv.org/pdf/1911.04697分类 | cs.SD eess.AS备注 | Accepted by AAAI'20

[431] MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams连接 | https://arxiv.org/pdf/1911.04464分类 | cs.LG cs.AI备注 | 8 pages, Accepted at AAAI Conference on Artificial Intelligence (AAAI), 2020 [oral paper]; updated experiments

[432] Attending to Entities for Better Text Understanding连接 | https://arxiv.org/pdf/1911.04361分类 | cs.CL备注 | Accepted at AAAI 2020

[433] Privacy-Preserving Gradient Boosting Decision Trees连接 | https://arxiv.org/pdf/1911.04209分类 | cs.LG cs.CR stat.ML备注 | Accepted to AAAI-20

[434] Practical Federated Gradient Boosting Decision Trees连接 | https://arxiv.org/pdf/1911.04206分类 | cs.LG stat.ML备注 | Accepted to AAAI-20

[435] Gradient Boosts the Approximate Vanishing Ideal连接 | https://arxiv.org/pdf/1911.04174分类 | stat.ML cs.LG备注 | 9+10 pages, 1+4 figures, AAAI'20

[436] Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets连接 | https://arxiv.org/pdf/1911.04143分类 | cs.LG stat.ML备注 | An extended version with 11 pages including appendix; Accepted by AAAI'20;

[437] Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism连接 | https://arxiv.org/pdf/1911.04140分类 | cs.CV备注 | AAAI 2020

[438] Fast Learning of Temporal Action Proposal via Dense Boundary Generator连接 | https://arxiv.org/pdf/1911.04127分类 | cs.CV备注 | Accepted by AAAI 2020. Ranked No. 1 on ActivityNet Challenge 2019 on Temporal Action Proposals (http://activity-net.org/challenges/2019/evaluation.html)

[439] TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection连接 | https://arxiv.org/pdf/1911.04118分类 | cs.CL备注 | Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Oral Presentation

[440] LMLFM: Longitudinal Multi-Level Factorization Machine连接 | https://arxiv.org/pdf/1911.04062分类 | stat.ML cs.LG stat.AP http://stat.ME备注 | Thirty-Fourth AAAI Conference on Artificial Intelligence, accepted

[441] Invariant Representations through Adversarial Forgetting连接 | https://arxiv.org/pdf/1911.04060分类 | cs.LG stat.ML备注 | To appear in Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-20)

[442] Fair Allocation through Selective Information Acquisition连接 | https://arxiv.org/pdf/1911.02715分类 | cs.CY cs.GT备注 | To appear in Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society (AIES)

[443] Hierarchical Contextualized Representation for Named Entity Recognition连接 | https://arxiv.org/pdf/1911.02257分类 | cs.CL cs.LG备注 | Accepted by AAAI 2020

[444] Incremental Sense Weight Training for the Interpretation of Contextualized Word Embeddings连接 | https://arxiv.org/pdf/1911.01623分类 | cs.CL备注 | Paper Accepted to AAAI-20 Student Abstract and Poster Program

[445] Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis连接 | https://arxiv.org/pdf/1911.01616分类 | cs.CL备注 | This paper is accepted in AAAI 2020

[446] Ensembles of Locally Independent Prediction Models连接 | https://arxiv.org/pdf/1911.01291分类 | cs.LG stat.ML备注 | This is an expansion of arXiv:1806.08716 with different applications and focus, accepted to AAAI 2020. Latest update clarifies a derivation

[447] Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents连接 | https://arxiv.org/pdf/1911.00484分类 | cs.CL备注 | Accepted to AAAI 2020

[448] InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions连接 | https://arxiv.org/pdf/1911.00219分类 | cs.LG stat.ML备注 | Accepted at AAAI 2020

[449] Does Speech enhancement of publicly available data help build robust Speech Recognition Systems?连接 | https://arxiv.org/pdf/1910.13488分类 | eess.AS cs.CL cs.SD备注 | Accepted to AAAI conference of Artificial Intelligence 2020 (abstract)

[450] RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search连接 | https://arxiv.org/pdf/1910.12527分类 | cs.CL备注 | AAAI 2020

[451] QASC: A Dataset for Question Answering via Sentence Composition连接 | https://arxiv.org/pdf/1910.11473分类 | cs.CL备注 | AAAI-20 Camera Ready Version

[452] Integrating overlapping datasets using bivariate causal discovery连接 | https://arxiv.org/pdf/1910.11356分类 | stat.ML cs.LG备注 | Accepted to the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). 8+2 pages, 3+3 figures. Comments welcome

[453] Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition连接 | https://arxiv.org/pdf/1910.09616分类 | cs.CV cs.LG eess.IV备注 | Accepted at AAAI 2020

[454] Constructing Artificial Data for Fine-tuning for Low-Resource Biomedical Text Tagging with Applications in PICO Annotation连接 | https://arxiv.org/pdf/1910.09255分类 | cs.CL cs.LG stat.ML备注 | International Workshop on Health Intelligence (W3PHIAI-20); AAAI-20

[455] On Adaptivity in Information-constrained Online Learning连接 | https://arxiv.org/pdf/1910.08805分类 | cs.LG stat.ML备注 | 34th AAAI Conference on Artificial Intelligence (AAAI 2020). Short version at 11th Optimization for Machine Learning workshop (OPT 2019)

[456] Blameworthiness in Security Games连接 | https://arxiv.org/pdf/1910.08647分类 | cs.AI cs.GT cs.LO math.LO备注 | 34th AAAI Conference on Artificial Intelligence (AAAI-20), February 7-12, 2020, New York, New York, USA

[457] ALOHA: Artificial Learning of Human Attributes for Dialogue Agents连接 | https://arxiv.org/pdf/1910.08293分类 | cs.CL cs.AI cs.LG备注 | AAAI 2020

[458] Combining Machine Learning Models using combo Library连接 | https://arxiv.org/pdf/1910.07988分类 | cs.LG cs.IR stat.ML备注 | In Proceedings of Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)

[459] Extraction of Complex DNN Models: Real Threat or Boogeyman?连接 | https://arxiv.org/pdf/1910.05429分类 | cs.LG cs.CR stat.ML备注 | 8 pages, 1 figure, Accepted to The AAAI-20 Workshop on Engineering Dependable and Secure Machine Learning Systems (EDSMLS)

[460] RLCard: A Toolkit for Reinforcement Learning in Card Games连接 | https://arxiv.org/pdf/1910.04376分类 | cs.AI备注 | AAAI-20 Workshop on Reinforcement Learning in Games

[461] Active Ordinal Querying for Tuplewise Similarity Learning连接 | https://arxiv.org/pdf/1910.04115分类 | stat.ML cs.LG备注 | Canal and Fenu contributed equally; correction in metadata title - metadata title now matches manuscript title; updated to camera-ready version to appear in AAAI 2020

[462] Knowledge Distillation from Internal Representations连接 | https://arxiv.org/pdf/1910.03723分类 | cs.CL备注 | To appear in AAAI-2020

[463] Graph Few-shot Learning via Knowledge Transfer连接 | https://arxiv.org/pdf/1910.03053分类 | cs.LG stat.ML备注 | Accepted by AAAI 2020

[464] Commonsense Knowledge Base Completion with Structural and Semantic Context连接 | https://arxiv.org/pdf/1910.02915分类 | cs.CL cs.AI备注 | AAAI 2020

[465] FIS-GAN: GAN with Flow-based Importance Sampling连接 | https://arxiv.org/pdf/1910.02519分类 | cs.LG stat.ML备注 | 10 pages, 9 figures, another format submitted to AAAI-2020, under review. arXiv admin note: text overlap with arXiv:1803.00942 by other authors

[466] Dynamic Embedding on Textual Networks via a Gaussian Process连接 | https://arxiv.org/pdf/1910.02187分类 | cs.LG cs.CL cs.SI stat.ML备注 | Accepted for presentation at the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)

[467] MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension连接 | https://arxiv.org/pdf/1910.00458分类 | cs.CL cs.LG备注 | Accepted by AAAI 2020

[468] Hidden Trigger Backdoor Attacks连接 | https://arxiv.org/pdf/1910.00033分类 | cs.CV备注 | AAAI 2020 - Main Technical Track (Oral)

[469] Automatic Fact-guided Sentence Modification连接 | https://arxiv.org/pdf/1909.13838分类 | cs.CL备注 | AAAI 2020

[470] Multi-Agent Actor-Critic with Hierarchical Graph Attention Network连接 | https://arxiv.org/pdf/1909.12557分类 | cs.LG cs.AI cs.MA stat.ML备注 | Accepted as a conference paper at the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, USA

[471] KnowBias: Detecting Political Polarity in Long Text Content连接 | https://arxiv.org/pdf/1909.12230分类 | cs.CL备注 | 2 pages, 2 figures, to appear in AAAI 2020 Student Abstract and Poster Program

[472] Unified Vision-Language Pre-Training for Image Captioning and VQA连接 | https://arxiv.org/pdf/1909.11059分类 | cs.CV备注 | AAAI 2020 camera-ready version. The code and the pre-trained models are available at https://github.com/LuoweiZhou/VLP

[473] WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series连接 | https://arxiv.org/pdf/1909.10801分类 | cs.LG q-fin.ST stat.ML备注 | Submitted to the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 20)

[474] An Empirical Study of Content Understanding in Conversational Question Answering连接 | https://arxiv.org/pdf/1909.10743分类 | cs.CL备注 | Published at AAAI 2020

[475] Hypernym Detection Using Strict Partial Order Networks连接 | https://arxiv.org/pdf/1909.10572分类 | cs.AI cs.CL cs.LG备注 | AAAI 2020

[476] Cross-Lingual Natural Language Generation via Pre-Training连接 | https://arxiv.org/pdf/1909.10481分类 | cs.CL备注 | Accepted by AAAI-20

[477] Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods连接 | https://arxiv.org/pdf/1909.10461分类 | eess.SP cs.AI cs.LG stat.ML备注 | A version of this paper appears in AAAI 2020

[478] Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations连接 | https://arxiv.org/pdf/1909.10005分类 | cs.SI cs.CY备注 | To Appear In the Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI), New York, USA, Feb 2020

[479] Adapting Language Models for Non-Parallel Author-Stylized Rewriting连接 | https://arxiv.org/pdf/1909.09962分类 | cs.CL cs.LG备注 | Accepted for publication in Main Technical Track at AAAI 20

[480] Using Chinese Glyphs for Named Entity Recognition连接 | https://arxiv.org/pdf/1909.09922分类 | cs.CL cs.AI cs.IR cs.LG备注 | Extended abstract accepted to AAAI-2020, student track

[481] Probing Natural Language Inference Models through Semantic Fragments连接 | https://arxiv.org/pdf/1909.07521分类 | cs.CL备注 | AAAI camera-ready version

[482] Weighted Sampling for Combined Model Selection and Hyperparameter Tuning连接 | https://arxiv.org/pdf/1909.07140分类 | cs.LG stat.ML备注 | Accepted for presentation at The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)

[483] Incorporating Dynamicity of Transportation Network with Multi-Weight Traffic Graph Convolution for Traffic Forecasting连接 | https://arxiv.org/pdf/1909.07105分类 | stat.ML cs.LG备注 | 7 pages, 5 figures, submitted to AAAI-2020 conference for review

[484] Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors连接 | https://arxiv.org/pdf/1909.06872分类 | cs.LG stat.ML备注 | Under review for AAAI 20 conference

[485] Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization连接 | https://arxiv.org/pdf/1909.06731分类 | cs.CL cs.LG备注 | AAAI 2020

[486] A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces连接 | https://arxiv.org/pdf/1909.06092分类 | cs.CL cs.AI备注 | AAAI 2020

[487] Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset连接 | https://arxiv.org/pdf/1909.05855分类 | cs.CL备注 | To appear at AAAI 2020

[488] Fine-Grained Entity Typing for Domain Independent Entity Linking连接 | https://arxiv.org/pdf/1909.05780分类 | cs.CL cs.AI cs.LG备注 | AAAI 2020

[489] Temporally Grounding Language Queries in Videos by Contextual Boundary-aware Prediction连接 | https://arxiv.org/pdf/1909.05010分类 | cs.CV备注 | Accepted to AAAI 2020

[490] JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video连接 | https://arxiv.org/pdf/1909.04391分类 | eess.IV cs.CV备注 | The first two authors contributed equally to this work. Accepted at AAAI 2020. (Camera-ready version)

[491] Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors连接 | https://arxiv.org/pdf/1909.04079分类 | stat.ML cs.LG备注 | AAAI 2020

[492] Exploratory Combinatorial Optimization with Reinforcement Learning连接 | https://arxiv.org/pdf/1909.04063分类 | cs.LG cs.AI stat.ML备注 | In Proceedings of the 34th National Conference on Artificial Intelligence, AAAI 2020

[493] Fast And Efficient Boolean Matrix Factorization By Geometric Segmentation连接 | https://arxiv.org/pdf/1909.03991分类 | cs.LG cs.CG stat.ML备注 | Accepted at AAAI 2020

[494] Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning连接 | https://arxiv.org/pdf/1909.03906分类 | cs.LG cs.AI备注 | AAAI 2020

[495] Linear Context Transform Block连接 | https://arxiv.org/pdf/1909.03834分类 | cs.LG cs.AI cs.CV备注 | AAAI-2020 accepted

[496] Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching连接 | https://arxiv.org/pdf/1909.03751分类 | cs.CV备注 | Accepted by AAAI 2020

[497] Off-Policy Evaluation in Partially Observable Environments连接 | https://arxiv.org/pdf/1909.03739分类 | cs.LG cs.AI eess.SY stat.ML备注 | Accepted to AAAI-2020

[498] MULE: Multimodal Universal Language Embedding连接 | https://arxiv.org/pdf/1909.03493分类 | cs.CV cs.CL备注 | Accepted as an oral at AAAI 2020

[499] Story Realization: Expanding Plot Events into Sentences连接 | https://arxiv.org/pdf/1909.03480分类 | cs.CL cs.AI cs.LG备注 | In proceedings of AAAI 2020

[500] Back to the Future -- Sequential Alignment of Text Representations连接 | https://arxiv.org/pdf/1909.03464分类 | cs.CL stat.ML备注 | AAAI 2020

[501] Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View连接 | https://arxiv.org/pdf/1909.03211分类 | cs.LG cs.SI stat.ML备注 | Accepted by AAAI 2020. This complete version contains the appendix

[502] Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond连接 | https://arxiv.org/pdf/1909.03118分类 | cs.LG stat.ML备注 | Accepted by AAAI 2020

[503] Regression Under Human Assistance连接 | https://arxiv.org/pdf/1909.02963分类 | cs.LG stat.ML备注 | Accepted in AAAI 2020

[504] Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs连接 | https://arxiv.org/pdf/1909.02769分类 | cs.LG math.OC stat.ML备注 | Published at AAAI-2020 58 pages

[505] Robot Motion Risk Reasoning Framework连接 | https://arxiv.org/pdf/1909.02531分类 | cs.RO备注 | Submitted to AAAI-20

[506] Swap Stability in Schelling Games on Graphs连接 | https://arxiv.org/pdf/1909.02421分类 | cs.GT备注 | AAAI 2020

[507] Semantics-aware BERT for Language Understanding连接 | https://arxiv.org/pdf/1909.02209分类 | cs.CL备注 | Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020)

[508] Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation连接 | https://arxiv.org/pdf/1909.00437分类 | cs.CL备注 | AAAI 2020

[509] Interactive Task and Concept Learning from Natural Language Instructions and GUI Demonstrations连接 | https://arxiv.org/pdf/1909.00031分类 | cs.HC备注 | The AAAI-20 Workshop on Intelligent Process Automation (IPA-20)

[510] DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension连接 | https://arxiv.org/pdf/1908.11511分类 | cs.CL备注 | Accepted by AAAI 2020

[511] Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER连接 | https://arxiv.org/pdf/1908.11046分类 | cs.CL备注 | To appear in AAAI 2020. arXiv admin note: text overlap with arXiv:1910.02586

[512] A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits连接 | https://arxiv.org/pdf/1908.10402分类 | cs.LG stat.ML备注 | Accepted by AAAI 2020

[513] Gated Convolutional Networks with Hybrid Connectivity for Image Classification连接 | https://arxiv.org/pdf/1908.09699分类 | cs.CVReport number: Accepted by AAAI 2020

[514] Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation连接 | https://arxiv.org/pdf/1908.09528分类 | cs.CL cs.AI备注 | accepted by AAAI 2020

[515] Dialog State Tracking with Reinforced Data Augmentation连接 | https://arxiv.org/pdf/1908.07795分类 | cs.CL cs.AI cs.LG备注 | AAAI 2020

[516] Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior连接 | https://arxiv.org/pdf/1908.07181分类 | cs.CL cs.LG备注 | This paper was accepted to AAAI 2020, the copyright is transferred to AAAI

[517] RefNet: A Reference-aware Network for Background Based Conversation连接 | https://arxiv.org/pdf/1908.06449分类 | cs.CL cs.AI cs.LG备注 | Accepted to AAAI 2020 (Oral)

[518] Message Passing Attention Networks for Document Understanding连接 | https://arxiv.org/pdf/1908.06267分类 | cs.CL备注 | Accepted at AAAI'20

[519] Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training连接 | https://arxiv.org/pdf/1908.06066分类 | cs.CV备注 | accepted by AAAI-2020. arXiv admin note: text overlap with arXiv:1909.11740 by other authors

[520] Sex Trafficking Detection with Ordinal Regression Neural Networks连接 | https://arxiv.org/pdf/1908.05434分类 | cs.LG cs.CL stat.ML备注 | AAAI-20 workshop on Artificial Intelligence for Cyber Security (AICS)

[521] Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding连接 | https://arxiv.org/pdf/1908.05161分类 | cs.LG cs.CL stat.ML备注 | In Proceedings of AAAI 2020

[522] SG-Net: Syntax-Guided Machine Reading Comprehension连接 | https://arxiv.org/pdf/1908.05147分类 | cs.CL备注 | Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020)

[523] Regional Tree Regularization for Interpretability in Black Box Models连接 | https://arxiv.org/pdf/1908.04494分类 | cs.LG stat.ML备注 | AAAI 2020 (Oral)

[524] Detecting semantic anomalies连接 | https://arxiv.org/pdf/1908.04388分类 | cs.CV cs.LG备注 | Preprint for AAAI '20 publication

[525] Repetitive Reprediction Deep Decipher for Semi-Supervised Learning连接 | https://arxiv.org/pdf/1908.04345分类 | cs.CV cs.LG stat.ML备注 | Accepted by AAAI 2020

[526] A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models连接 | https://arxiv.org/pdf/1908.01297分类 | cs.SI cs.CR cs.LG stat.ML备注 | Accepted by the AAAI 2020

[527] Softmax Dissection: Towards Understanding Intra- and Inter-class Objective for Embedding Learning连接 | https://arxiv.org/pdf/1908.01281分类 | cs.CV cs.LG备注 | Accepted to AAAI-2020, Oral presentation

[528] ERNIE 2.0: A Continual Pre-training Framework for Language Understanding连接 | https://arxiv.org/pdf/1907.12412分类 | cs.CL备注 | 11 pages, 3 figures and 7 tables; Accepted by AAAI 2020

[529] Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment连接 | https://arxiv.org/pdf/1907.11932分类 | cs.CL cs.AI cs.LG备注 | AAAI 2020 (Oral)

[530] A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing连接 | https://arxiv.org/pdf/1907.09642分类 | cs.GR cs.CV eess.IV备注 | Accepted by AAAI 2020

[531] Light Multi-segment Activation for Model Compression连接 | https://arxiv.org/pdf/1907.06870分类 | cs.LG备注 | Thirty-Fourth AAAI Conference on Artificial Intelligence. 2020

[532] Deep Learning-powered Iterative Combinatorial Auctions连接 | https://arxiv.org/pdf/1907.05771分类 | cs.GT备注 | AAAI 2020 Conference

[533] An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies连接 | https://arxiv.org/pdf/1907.04662分类 | cs.LG stat.ML备注 | In 34th AAAI Conference on Artificial Intelligence (AAAI 2020)

[534] Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation连接 | https://arxiv.org/pdf/1907.02204分类 | cs.LG stat.ML备注 | The short version of this paper has been accepted to AAAI-20 Workshop on Deep Learning on Graphs: Methodologies and Applications (DLGMA 2020)

[535] Adapting Stable Matchings to Evolving Preferences连接 | https://arxiv.org/pdf/1907.01375分类 | cs.GT备注 | Accepted to AAAI 2020

[536] Bipartite Graph Neural Networks for Efficient Node Representation Learning连接 | https://arxiv.org/pdf/1906.11994分类 | cs.SI cs.LG stat.ML备注 | AAAI 2020

[537] Learning to Interactively Learn and Assist连接 | https://arxiv.org/pdf/1906.10187分类 | cs.AI cs.LG cs.MA备注 | AAAI 2020. Video overview at https://youtu.be/8yBvDBuAPrw, paper website with videos and interactive game at http://interactive-learning.github.io/

[538] Proximal Distilled Evolutionary Reinforcement Learning连接 | https://arxiv.org/pdf/1906.09807分类 | cs.LG cs.NE stat.ML备注 | Camera-ready version for AAAI-20. Contains 10 pages, 11 figures

[539] Deep Conservative Policy Iteration连接 | https://arxiv.org/pdf/1906.09784分类 | cs.LG stat.ML备注 | AAAI 2020 (long version)

[540] Posterior-Guided Neural Architecture Search连接 | https://arxiv.org/pdf/1906.09557分类 | cs.LG stat.ML备注 | Accepted by AAAI 2020

[541] Nonlinear System Identification via Tensor Completion连接 | https://arxiv.org/pdf/1906.05746分类 | cs.LG stat.ML备注 | AAAI 2020

[542] Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes连接 | https://arxiv.org/pdf/1906.05323分类 | cs.NE cs.LG stat.ML备注 | To be published at AAAI 2020 conference

[543] Image-Adaptive GAN based Reconstruction连接 | https://arxiv.org/pdf/1906.05284分类 | eess.IV cs.CV cs.LG备注 | Accepted to AAAI 2020. Code available at https://github.com/shadyabh/IAGAN

[544] Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer连接 | https://arxiv.org/pdf/1906.04716分类 | cs.LG stat.ML备注 | To be presented at AAAI 2020

[545] Human-Machine Collaboration for Fast Land Cover Mapping连接 | https://arxiv.org/pdf/1906.04176分类 | cs.HC cs.CV备注 | To appear in AAAI 2020

[546] The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response连接 | https://arxiv.org/pdf/1906.01811分类 | cs.AI stat.AP备注 | Proceedings of the 34th AAAI Conference on Artificial Intelligence, New York, USA. 2020

[547] Reinforcement Learning When All Actions are Not Always Available连接 | https://arxiv.org/pdf/1906.01772分类 | cs.LG stat.ML备注 | Thirty-fourth Conference on Artificial Intelligence (AAAI 2020)

[548] Lifelong Learning with a Changing Action Set连接 | https://arxiv.org/pdf/1906.01770分类 | cs.LG stat.ML备注 | Thirty-fourth Conference on Artificial Intelligence (AAAI 2020)

[549] Efficient Neural Architecture Search via Proximal Iterations连接 | https://arxiv.org/pdf/1905.13577分类 | cs.LG stat.ML备注 | Accepted by AAAI-2020

[550] Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series连接 | https://arxiv.org/pdf/1905.13570分类 | cs.LG cs.AI cs.NE stat.ML备注 | 8 pages, 4 figures, accepted to AAAI 2020, code available at: https://github.com/ztangent/multimodal-dmm

[551] Structured Output Learning with Conditional Generative Flows连接 | https://arxiv.org/pdf/1905.13288分类 | cs.LG stat.ML备注 | Accepted to AAAI 2020

[552] Semantics-Aligned Representation Learning for Person Re-identification连接 | https://arxiv.org/pdf/1905.13143分类 | cs.CV备注 | Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)

[553] AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows连接 | https://arxiv.org/pdf/1905.12892分类 | cs.LG cs.NE stat.ML备注 | AAAI 2020

[554] Particle Filter Recurrent Neural Networks连接 | https://arxiv.org/pdf/1905.12885分类 | cs.LG stat.ML备注 | Accepted to AAAI 2020

[555] Learning to Crawl连接 | https://arxiv.org/pdf/1905.12781分类 | cs.LG stat.ML备注 | Published at AAAI 2020

[556] Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning连接 | https://arxiv.org/pdf/1905.12304分类 | cs.CL备注 | Association for the Advancement of Artificial Intelligence. AAAI 2020

[557] Capsule Routing via Variational Bayes连接 | https://arxiv.org/pdf/1905.11455分类 | cs.LG cs.CV stat.ML备注 | AAAI 2020 Accepted Paper

[558] Path Planning Problems with Side Observations-When Colonels Play Hide-and-Seek连接 | https://arxiv.org/pdf/1905.11151分类 | cs.GT cs.LG备注 | Previously, this work appeared as arXiv:1911.09023 which was mistakenly submitted as a new article (has been submitted to be withdrawn). This is a preprint of the work published in Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI)

[559] Quantization-Based Regularization for Autoencoders连接 | https://arxiv.org/pdf/1905.11062分类 | cs.LG stat.ML备注 | AAAI 2020

[560] Learning to Auto Weight: Entirely Data-driven and Highly Efficient Weighting Framework连接 | https://arxiv.org/pdf/1905.11058分类 | cs.LG cs.CV备注 | Accepted by AAAI 2020

[561] Policy Search by Target Distribution Learning for Continuous Control连接 | https://arxiv.org/pdf/1905.11041分类 | cs.LG stat.ML备注 | AAAI-20 (oral)

[562] Explainable Reinforcement Learning Through a Causal Lens连接 | https://arxiv.org/pdf/1905.10958分类 | cs.LG cs.AI cs.HC stat.ML备注 | Accepted to AAAI 2020 - full paper (oral) - main track

[563] OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization连接 | https://arxiv.org/pdf/1905.10836分类 | cs.CV备注 | AAAI 2020

[564] Path Ranking with Attention to Type Hierarchies连接 | https://arxiv.org/pdf/1905.10799分类 | cs.AI cs.CL cs.LG备注 | Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)

[565] Bivariate Beta-LSTM连接 | https://arxiv.org/pdf/1905.10521分类 | cs.LG stat.ML备注 | AAAI 2020

[566] Variational Inference for Sparse Gaussian Process Modulated Hawkes Process连接 | https://arxiv.org/pdf/1905.10496分类 | cs.LG stat.ML备注 | AAAI-20

[567] Training Decision Trees as Replacement for Convolution Layers连接 | https://arxiv.org/pdf/1905.10073分类 | cs.LG stat.ML备注 | Will be published in the proceedings oft he AAAI 2020 conference

[568] Adversarially Robust Distillation连接 | https://arxiv.org/pdf/1905.09747分类 | cs.LG cs.CV stat.ML备注 | Accepted to AAAI 2020

[569] Fairness in Machine Learning with Tractable Models连接 | https://arxiv.org/pdf/1905.07026分类 | cs.LG cs.AI cs.SC stat.ML备注 | In AAAI Workshop: Statistical Relational Artificial Intelligence (StarAI), 2020. (This is the extended version.)

[570] Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data连接 | https://arxiv.org/pdf/1905.05468分类 | cs.LG eess.IV stat.ML备注 | 17 pages, 10 figures, Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI-20)

[571] Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems连接 | https://arxiv.org/pdf/1905.03421分类 | cs.LG cs.CR cs.CV stat.ML备注 | Kazuya Kakizaki and Kosuke Yoshida share equal contributions. Accepted at AAAI Workshop on Artificial Intelligence Safety (2020)

[572] An ADMM Based Framework for AutoML Pipeline Configuration连接 | https://arxiv.org/pdf/1905.00424分类 | cs.LG stat.ML备注 | published at AAAI 2020

[573] Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks连接 | https://arxiv.org/pdf/1904.10921分类 | cs.LG stat.ML备注 | Accepted to AAAI 2020 (Poster)

[574] Fine-Grained Argument Unit Recognition and Classification连接 | https://arxiv.org/pdf/1904.09688分类 | cs.CL备注 | AAAI 2020

[575] Generative Exploration and Exploitation连接 | https://arxiv.org/pdf/1904.09605分类 | cs.LG cs.AI stat.ML备注 | AAAI'20

[576] Reliable Multi-label Classification: Prediction with Partial Abstention连接 | https://arxiv.org/pdf/1904.09235分类 | cs.LG stat.ML备注 | Proceedings AAAI-20, Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, USA, 2020

[577] One Homonym per Translation连接 | https://arxiv.org/pdf/1904.08533分类 | cs.CL备注 | Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. 2020

[578] Object-Oriented Dynamics Learning through Multi-Level Abstraction连接 | https://arxiv.org/pdf/1904.07482分类 | cs.LG cs.AI cs.CV stat.ML备注 | Accepted to the Thirthy-Fourth AAAI Conference On Artificial Intelligence (AAAI), 2020

[579] Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking连接 | https://arxiv.org/pdf/1904.06707分类 | cs.CL cs.LG备注 | To appear at AAAI 2020

[580] Few-Shot Bayesian Imitation Learning with Logical Program Policies连接 | https://arxiv.org/pdf/1904.06317分类 | cs.AI备注 | AAAI 2020

[581] When AWGN-based Denoiser Meets Real Noises连接 | https://arxiv.org/pdf/1904.03485分类 | cs.CV备注 | Accepted by AAAI 2020

[582] Detecting Human-Object Interactions via Functional Generalization连接 | https://arxiv.org/pdf/1904.03181分类 | cs.CV备注 | To be presented at AAAI 2020

[583] Weighted Automata Extraction from Recurrent Neural Networks via Regression on State Spaces连接 | https://arxiv.org/pdf/1904.02931分类 | cs.LG stat.ML备注 | AAAI 2020. We are preparing to distribute the implementation

[584] Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting连接 | https://arxiv.org/pdf/1904.02688分类 | cs.AI cs.LG备注 | To appear in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). Code and data available at: https://github.com/ralphabb/NeuralDNF/

[585] Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks连接 | https://arxiv.org/pdf/1904.00605分类 | cs.CV备注 | 8 pages, 7 figures, Accepted paper in AAAI Conference on Artificial Intelligence (AAAI), 2020

[586] On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models连接 | https://arxiv.org/pdf/1903.12370分类 | stat.ML cs.CV cs.LG备注 | Code available at: https://github.com/point0bar1/ebm-anatomy

[587] Zero Shot Learning with the Isoperimetric Loss连接 | https://arxiv.org/pdf/1903.06781分类 | cs.LG cs.CV stat.ML备注 | Accepted to AAAI-20

[588] Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection连接 | https://arxiv.org/pdf/1903.06530分类 | cs.CV cs.LG stat.ML备注 | Accepted to AAAI 2020

[589] Temporal Logics Over Finite Traces with Uncertainty (Technical Report)连接 | https://arxiv.org/pdf/1903.04940分类 | cs.LO cs.AI备注 | Extended version of paper accepted at AAAI 2020

[590] Learning To Follow Directions in Street View连接 | https://arxiv.org/pdf/1903.00401分类 | cs.AI cs.CL cs.CV备注 | AAAI 2020

[591] Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels连接 | https://arxiv.org/pdf/1902.11038分类 | cs.LG stat.ML备注 | AAAI Conference on Artificial Intelligence (AAAI 2020)

[592] EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs连接 | https://arxiv.org/pdf/1902.10191分类 | cs.LG cs.SI stat.ML备注 | AAAI 2020. The code is available at https://github.com/IBM/EvolveGCN

[593] ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems连接 | https://arxiv.org/pdf/1902.06278分类 | cs.LG math.DS stat.ML备注 | Published at the Thirty-fourth AAAI Conference on Artificial Intelligence

[594] Improved Knowledge Distillation via Teacher Assistant连接 | https://arxiv.org/pdf/1902.03393分类 | cs.LG cs.AI stat.ML备注 | AAAI 2020

[595] Cost-Effective Incentive Allocation via Structured Counterfactual Inference连接 | https://arxiv.org/pdf/1902.02495分类 | stat.ML cs.LG备注 | Association for the Advancement of Artificial Intelligence (AAAI) 2020

[596] Generalization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks连接 | https://arxiv.org/pdf/1902.01384分类 | cs.LG math.OC stat.ML备注 | 27 pages. This version simplifies the proof and improves the presentation in Version 3. In AAAI 2020

[597] Collaborative Sampling in Generative Adversarial Networks连接 | https://arxiv.org/pdf/1902.00813分类 | cs.LG cs.CV stat.ML备注 | Accepted to AAAI 2020

[598] Differentiable Grammars for Videos连接 | https://arxiv.org/pdf/1902.00505分类 | cs.CV cs.LG备注 | AAAI-2020

[599] Span Model for Open Information Extraction on Accurate Corpus连接 | https://arxiv.org/pdf/1901.10879分类 | cs.CL备注 | this paper has been accepted by AAAI 2020

[600] Sample Complexity Bounds for Recurrent Neural Networks with Application to Combinatorial Graph Problems连接 | https://arxiv.org/pdf/1901.10289分类 | stat.ML cs.LG备注 | A two-page summary of this paper has been accepted as a student abstract at AAAI-20, this is the extended full version

[601] Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech Recognition连接 | https://arxiv.org/pdf/1901.10139分类 | cs.LG stat.ML备注 | Accepted for poster presentation at AAAI 2020. Dhruva Sahrawat and Yaman Kumar contributed equally to this work

[602] Learning and Reasoning for Robot Sequential Decision Making under Uncertainty连接 | https://arxiv.org/pdf/1901.05322分类 | cs.AI备注 | In proceedings of 34th AAAI conference on Artificial Intelligence, 2020

[603] ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System连接 | https://arxiv.org/pdf/1901.03808分类 | cs.LG eess.SP stat.ML备注 | Accepted by AAAI 2020

[604] Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification连接 | https://arxiv.org/pdf/1812.09617分类 | cs.CL cs.LG备注 | AAAI 2020

[605] Building Jiminy Cricket: An Architecture for Moral Agreements Among Stakeholders连接 | https://arxiv.org/pdf/1812.04741分类 | cs.AI备注 | Presented at the AAAI/ACM Artificial Intelligence, Ethics and Society

[606] Adversarial Framing for Image and Video Classification连接 | https://arxiv.org/pdf/1812.04599分类 | cs.CV cs.AI cs.LG stat.ML备注 | This is an extended version of the paper published at 33rd AAAI Conference on Artificial Intelligence (see https://doi.org/10.1609/aaai.v33i01.330110077 )

[607] Learning Transferable Adversarial Examples via Ghost Networks连接 | https://arxiv.org/pdf/1812.03413分类 | cs.CV cs.LG备注 | To appear in AAAI-20

[608] SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications连接 | https://arxiv.org/pdf/1812.02132分类 | cs.CV cs.CR cs.LG cs.RO备注 | Accepted at AAAI'20

[609] Universal Adversarial Training连接 | https://arxiv.org/pdf/1811.11304分类 | cs.CV cs.CR cs.LG备注 | Accepted to AAAI 2020

[610] CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation连接 | https://arxiv.org/pdf/1811.10842分类 | cs.CV备注 | 9 pages, 4 figures, AAAI 2020

[611] EFANet: Exchangeable Feature Alignment Network for Arbitrary Style Transfer连接 | https://arxiv.org/pdf/1811.10352分类 | cs.CV cs.GR备注 | Accepted by AAAI 2020

[612] Generate, Segment and Refine: Towards Generic Manipulation Segmentation连接 | https://arxiv.org/pdf/1811.09729分类 | cs.CV备注 | AAAI-2020

[613] Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution连接 | https://arxiv.org/pdf/1811.09361分类 | cs.CV备注 | 8 pages, to appear on AAAI 2020

[614] On the Generation of Medical Question-Answer Pairs连接 | https://arxiv.org/pdf/1811.00681分类 | cs.AI cs.CL备注 | AAAI 2020

[615] Online Planner Selection with Graph Neural Networks and Adaptive Scheduling连接 | https://arxiv.org/pdf/1811.00210分类 | cs.AI cs.LG stat.ML备注 | AAAI 2020. Code is released at https://github.com/matenure/GNN_planner. Data set is released at https://github.com/IBM/IPC-graph-data

[616] Learning to Communicate Implicitly By Actions连接 | https://arxiv.org/pdf/1810.04444分类 | cs.AI备注 | AAAI 2020

[617] Empirical Bounds on Linear Regions of Deep Rectifier Networks连接 | https://arxiv.org/pdf/1810.03370分类 | cs.LG cs.AI math.OC stat.ML备注 | AAAI 2020

[618] Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks连接 | https://arxiv.org/pdf/1810.02927分类 | cs.LG stat.ML备注 | AAAI 2020, https://sites.google.com/view/q-map-rl

[619] Abstracting Probabilistic Models: A Logical Perspective连接 | https://arxiv.org/pdf/1810.02434分类 | cs.AI cs.LG cs.LO备注 | In AAAI Workshop: Statistical Relational Artificial Intelligence, 2020. (This is the extended version.)

[620] Reinforcement Learning with Perturbed Rewards连接 | https://arxiv.org/pdf/1810.01032分类 | cs.LG cs.CR cs.CV stat.ML备注 | AAAI 2020 (Spotlight)

[621] Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise连接 | https://arxiv.org/pdf/1809.03550分类 | math.OC cs.CV math.ST备注 | Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

[622] Why Do Neural Response Generation Models Prefer Universal Replies?连接 | https://arxiv.org/pdf/1808.09187分类 | cs.CL备注 | Preprint of the paper presented to the AAAI 2020 Workshop on Interactive and Conversational Recommendation Systems (WICRS)

[623] Count-Based Exploration with the Successor Representation连接 | https://arxiv.org/pdf/1807.11622分类 | cs.LG cs.AI stat.ML备注 | This paper appears in the Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020)

[624] Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare连接 | https://arxiv.org/pdf/1806.01551分类 | stat.ML cs.LG备注 | AAAI 2020

[625] Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition under Reshuffling连接 | https://arxiv.org/pdf/1805.08465分类 | cs.LG stat.ML备注 | AAAI-2020

[626] Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search连接 | https://arxiv.org/pdf/1805.07440分类 | cs.LG cs.AI cs.CV cs.DC stat.ML备注 | To appear in the Thirty-Fourth AAAI conference on Artificial Intelligence (AAAI-2020)

[627] Cakewalk Sampling连接 | https://arxiv.org/pdf/1802.09030分类 | stat.ML cs.AI cs.LG备注 | Accepted as a conference paper by AAAI-2020 (oral presentation)

[628] Learning General Latent-Variable Graphical Models with Predictive Belief Propagation连接 | https://arxiv.org/pdf/1712.02046分类 | cs.LG cs.AI stat.ML备注 | In AAAI 2020 proceedings

[629] Semiring Programming: A Declarative Framework for Generalized Sum Product Problems连接 | https://arxiv.org/pdf/1609.06954分类 | cs.AI cs.LG cs.LO备注 | In AAAI Workshop: Statistical Relational Artificial Intelligence, 2020

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