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Proceedings of the AAAI Conference on Artificial Intelligence
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Found 25136 items.
Experimental Observations of the Topology of Convolutional Neural Network Activations
Emilie Purvine, Davis Brown, Brett Jefferson, Cliff Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou
9470-9479
2023-06-26
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
Guodong Qi, Huimin Yu
9480-9488
2023-06-26
Rethinking Data-Free Quantization as a Zero-Sum Game
Biao Qian, Yang Wang, Richang Hong, Meng Wang
9489-9497
2023-06-26
Mixture Uniform Distribution Modeling and Asymmetric Mix Distillation for Class Incremental Learning
Sunyuan Qiang, Jiayi Hou, Jun Wan, Yanyan Liang, Zhen Lei, Du Zhang
9498-9506
2023-06-26
Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection
Yang Qiao, Liqiang Jing, Xuemeng Song, Xiaolin Chen, Lei Zhu, Liqiang Nie
9507-9515
2023-06-26
Training Meta-Surrogate Model for Transferable Adversarial Attack
Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh
9516-9524
2023-06-26
Stochastic Contextual Bandits with Long Horizon Rewards
Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak
9525-9533
2023-06-26
Gradient-Variation Bound for Online Convex Optimization with Constraints
Shuang Qiu, Xiaohan Wei, Mladen Kolar
9534-9542
2023-06-26
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
9543-9551
2023-06-26
GLUECons: A Generic Benchmark for Learning under Constraints
Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi
9552-9561
2023-06-26
Provable Detection of Propagating Sampling Bias in Prediction Models
Pavan Ravishankar, Qingyu Mo, Edward McFowland III, Daniel B. Neill
9562-9569
2023-06-26
Diffusing Gaussian Mixtures for Generating Categorical Data
Florence Regol, Mark Coates
9570-9578
2023-06-26
Hypernetworks for Zero-Shot Transfer in Reinforcement Learning
Sahand Rezaei-Shoshtari, Charlotte Morissette, Francois R. Hogan, Gregory Dudek, David Meger
9579-9587
2023-06-26
Automata Cascades: Expressivity and Sample Complexity
Alessandro Ronca, Nadezda Alexandrovna Knorozova, Giuseppe De Giacomo
9588-9595
2023-06-26
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
Yi Rong, Xiongbo Lu, Zhaoyang Sun, Yaxiong Chen, Shengwu Xiong
9596-9605
2023-06-26
Planning and Learning with Adaptive Lookahead
Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal
9606-9613
2023-06-26
DisGUIDE: Disagreement-Guided Data-Free Model Extraction
Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, Lin Tan
9614-9622
2023-06-26
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions
Mohammad Rostami, Aram Galstyan
9623-9631
2023-06-26
Inferring Patient Zero on Temporal Networks via Graph Neural Networks
Xiaolei Ru, Jack Murdoch Moore, Xin-Ya Zhang, Yeting Zeng, Gang Yan
9632-9640
2023-06-26
Accommodating Audio Modality in CLIP for Multimodal Processing
Ludan Ruan, Anwen Hu, Yuqing Song, Liang Zhang, Sipeng Zheng, Qin Jin
9641-9649
2023-06-26
Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose
Harry Rubin-Falcone, Joyce Lee, Jenna Wiens
9650-9657
2023-06-26
On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure
Alessio Russo, Alexandre Proutiere
9658-9667
2023-06-26
Simultaneously Updating All Persistence Values in Reinforcement Learning
Luca Sabbioni, Luca Al Daire, Lorenzo Bisi, Alberto Maria Metelli, Marcello Restelli
9668-9676
2023-06-26
Continual Learning with Scaled Gradient Projection
Gobinda Saha, Kaushik Roy
9677-9685
2023-06-26
Fast Offline Policy Optimization for Large Scale Recommendation
Otmane Sakhi, David Rohde, Alexandre Gilotte
9686-9694
2023-06-26
9701 - 9725 of 25136 items
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