【導讀】2019人工智能開年頂級會議AAAI的錄取結果已出,投稿數量高達7745篇,錄取率僅爲16.2%。南京大學教授周志華和密歇根大學教授 Pascal Van Hentenryck是2019年AAAI程序主席。專知整理了Twitter和arXiv以及作者主頁公佈的一些AAAI2019接受論文,共計48篇! 包括機器學習、自然語言處理、計算機視覺等類別,有些論文已經可以在arXiv找到!歡迎同學查看!
【機器學習篇】
- Federico Cerutti, Lance Kaplan, Angelika Kimmig, Murat Sensoy. Probabilistic Logic Programming with Beta-Distributed Random Variables. In: AAAI (2019) https://arxiv.org/abs/1809.07888
- Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu. Deep Recurrent Survival Analysis. In: AAAI (2019)
- https://arxiv.org/abs/1809.02403
- Guiding the One-to-one Mapping in CycleGAN via Optimal Transport, Z. Zhou, G. Lu, Y. Song, K. Ren, Y. Yu
- On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation. A. Lissovoi, P.S. Oliveto and J.A.Warwicker.
- Freddy Lecue. et al. Human-in-the-Loop Feature Selection.
- Arnab Bhattacharyya. Minimum Intervention Cover of a Causal Graph
- Daan Bloembergen, Davide Grossi, Martin Lackner. On Rational Delegations in Liquid Democracy. https://arxiv.org/abs/1802.08020
- Bidisha Samanta, Abir De. Gourhari Jana, Pratim Kumar Chattaraj, Manuel Gomez Rodriguez. Designing Deep Generative Models for Molecular Graphs
- V. Roostapour, A. Neumann, F. Neumann, T. Friedrich: Pareto optimization for subset selection with dynamic cost constraints.
- T. Friedrich, A. Göbel, F. Neumann, F. Quinzan, R. Rothenberger: Greedy maximization of functions with bounded curvature under partition matroid constraints.
- T. Weise, Z. Wu, M. Wagner: An improved generic bet-and-run strategy with performance prediction for stochastic local search.
- Lorenzo Severini. Coverage Centrality Maximization in Undirected Networks.
- Gissella Bejarano. Deep Latent Generative Models For Energy Disaggregation.
- Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz: From Recommendation Systems to Facility Location Games. https://arxiv.org/abs/1809.02931
- Convergence of Learning Dynamics in Information Retrieval Games Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz https://arxiv.org/abs/1806.05359
- Jiankai. ATP: Directed Graph Embedding with Asymmetric Transitivity.
- Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making. Phebe Vayanos
- Tanmoy Chakraborty. Gated Interleaved Multi-Task Composite State Sequencing: Learning to Daisy-Chain the Best Experts with GIRNet
- Junzhou Zhao, Shuo Shang, Xiangliang Zhang, Pinghui Wang, John C.S. Lui. “Submodular Optimization Over Streams with Inhomogeneous Decays”. Accepted for AAAI 2019. (CCF Rank A)
【計算機視覺篇】
- Ying Tai, Yicong Liang, Xiaoming Liu, Lei Duan, Jilin Li, Chengjie Wang, Feiyue Huang, Yu Chen. Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos. In: AAAI (2019) https://arxiv.org/abs/1811.00342
- Manoj Acharya, Kushal Kafle, Christopher Kanan. TallyQA: Answering Complex Counting Questions. In: AAAI (2019) https://arxiv.org/abs/1810.12440 https://www.manojacharya.com/tallyqa.html
- Charles Ollion et al. BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection.
- Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang AAAI 2019
- F. Neumann, A. M. Sutton: Evolving solutions to community-structured satisfiability formulas.
- Laure Soulier. BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection.
- Toshihiko Yamasaki. Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing.
【自然語言處理篇】
- N Majumder, S Poria, D Hazarika, R Mihalcea, A Gelbukh, E Cambria. DialogueRNN: An attentive RNN for emotion detection in conversations. In: AAAI (2019) https://arxiv.org/abs/1811.00405
- Farhad Bin Siddique, Dario Bertero, Pascale Fung. GlobalTrait: Personality Alignment of Multilingual Word Embeddings. In: AAAI (2019) https://arxiv.org/abs/1811.00240
- Maarten Sap, Ronan LeBras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi. ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. In: AAAI (2019) https://arxiv.org/abs/1811.00146
- Sopan Khosla. Surveys without Questions: A Reinforcement Learning Approach.
- Quantifying Uncertainties in Natural Language Processing Tasks Yijun Xiao, William Yang Wang. AAAI 2019
- Julien Tissier, Amaury Habrard, Christophe Gravier. Near-lossless Binarization of Word Embeddings https://arxiv.org/abs/1803.09065
- Mukundhan Srinivasan. Re-evaluating ADEM: A Deeper Look at Scoring Dialogue Responses.
- Yiming Cui. Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions.
- julia kiseleva. Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning.
- Md Kamruzzaman. Concept induction for description logic
- Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock: Improving Natural Language Inference Using External Knowledge in the Science Questions Domain https://arxiv.org/pdf/1809.05724.pdf
- Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky: Predicting Argumenthood of English Preposition Phrases. https://arxiv.org/abs/1809.07889
- Sebastian J. Mielke, Jason Eisner. Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model https://arxiv.org/abs/1804.08205
- Marek Rei. Jointly Learning to Label Sentences and Tokens.
- Vasanth Sarathy. On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse.
- DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval" Zhiwen Tang and Grace Hui Yang
- Valerio Di Carlo. Building Temporal Word Embeddings with a Compass
- Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, and Tong Xu, Regularizing Neural Machine Translation by Target-bidirectional Agreement, In Proceedings of 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, Hawaii, USA, 2019, Accepted.
- Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, and Qi Liu, A Radical-aware Attention-based Model for Chinese Text Classification, In Proceedings of 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, Hawaii, USA, 2019, Accepted.
【其他】
- Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda: Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities. https://arxiv.org/abs/1809.07952
- Incorporating Network Embedding into Markov Random Field for Better Community Detection
- Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Match. Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Ture, Jimmy Lin https://arxiv.org/abs/1805.08159
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