Papers
A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction
Wonseok Hwang, Dongjun Lee, Kyoungyeon Cho et al.
An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits
Geovani Rizk, Igor Colin, Albert Thomas et al.
An $\alpha$-regret analysis of Adversarial Bilateral Trade
Yossi Azar, Amos Fiat, Federico Fusco
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng et al.
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects
Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee et al.
An Algorithm for Learning Switched Linear Dynamics from Data
Guillaume Berger, Monal Narasimhamurthy, Kandai Watanabe et al.
Analyzing Data-Centric Properties for Graph Contrastive Learning
Puja Trivedi, Ekdeep S Lubana, Mark Heimann et al.
Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective
Keitaro Sakamoto, Issei Sato
Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability
Zixuan Wang, Zhouzi Li, Jian Li
An Analysis of Ensemble Sampling
Chao Qin, Zheng Wen, Xiuyuan Lu et al.
An Analytical Theory of Curriculum Learning in Teacher-Student Networks
Luca Saglietti, Stefano Mannelli, Andrew Saxe
An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem
Arpit Agarwal, Rohan Ghuge, viswanath nagarajan
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
Ruida Zhou, Tao Liu, Dileep Kalathil et al.
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs
Chloé Rouyer, Dirk van der Hoeven, Nicolò Cesa-Bianchi et al.
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP
Fan Chen, Junyu Zhang, Zaiwen Wen
An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries
Aryan Pedawi, Pawel Gniewek, Chaoyi Chang et al.
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
Xiu-Shen Wei, H.-Y. Xu, Faen Zhang et al.
An empirical analysis of compute-optimal large language model training
Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch et al.
An Empirical Study on Disentanglement of Negative-free Contrastive Learning
Jinkun Cao, Ruiqian Nai, Qing Yang et al.
A Neural Corpus Indexer for Document Retrieval
Yujing Wang, Yingyan Hou, Haonan Wang et al.
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity
Seo Taek Kong, Soomin Jeon, Dongbin Na et al.
A new dataset for multilingual keyphrase generation
Frédéric Piedboeuf, Philippe Langlais
A New Family of Generalization Bounds Using Samplewise Evaluated CMI
Fredrik Hellström, Giuseppe Durisi
AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars
Yue Wu, Yu Deng, Jiaolong Yang et al.
AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies
Li Siyao, Yuhang Li, Bo Li et al.