Papers
11,015 papers found
The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning
Hao Hu, Yiqin Yang, Qianchuan Zhao et al.
The Role of Coverage in Online Reinforcement Learning
Tengyang Xie, Dylan J Foster, Yu Bai et al.
The Role of ImageNet Classes in Fréchet Inception Distance
Tuomas Kynkäänniemi, Tero Karras, Miika Aittala et al.
The Surprising Computational Power of Nondeterministic Stack RNNs
Brian DuSell, David Chiang
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
Dian Wang, Jung Yeon Park, Neel Sortur et al.
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
Ian Gemp, Charlie Chen, Brian McWilliams
The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection
Griffin Floto, Stefan Kremer, Mihai Nica
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
Zhenmei Shi, Jiefeng Chen, Kunyang Li et al.
This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers
Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita et al.
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization
Xiang Li, Junchi YANG, Niao He
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
Zeyu Tang, Yatong Chen, Yang Liu et al.
TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
Siheng Xiong, Yuan Yang, Faramarz Fekri et al.
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Haixu Wu, Tengge Hu, Yong Liu et al.
Time to augment self-supervised visual representation learning
Arthur Aubret, Markus R. Ernst, Céline Teulière et al.
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection
Jinhyung Park, Chenfeng Xu, Shijia Yang et al.
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints
David Henry Mguni, Aivar Sootla, Juliusz Krzysztof Ziomek et al.
Toeplitz Neural Network for Sequence Modeling
Zhen Qin, Xiaodong Han, Weixuan Sun et al.
Token Merging: Your ViT But Faster
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai et al.
Topology-aware Robust Optimization for Out-of-Distribution Generalization
Fengchun Qiao, Xi Peng
Toward Adversarial Training on Contextualized Language Representation
Hongqiu Wu, Yongxiang Liu, Hanwen Shi et al.
Towards Addressing Label Skews in One-Shot Federated Learning
Yiqun Diao, Qinbin Li, Bingsheng He
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism
Zhijian Zhuo, Yifei Wang, Jinwen Ma et al.
Towards Better Selective Classification
Leo Feng, Mohamed Osama Ahmed, Hossein Hajimirsadeghi et al.
Towards convergence to Nash equilibria in two-team zero-sum games
Fivos Kalogiannis, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective
Yiming Gao, Feiyu Liu, Liang Wang et al.