Papers
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
Charles Guille-Escuret, Pierre-André Noël, Ioannis Mitliagkas et al.
Expert-level protocol translation for self-driving labs
Yu-Zhe Shi, Fanxu Meng, Haofei Hou et al.
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Ruiqi Zhong, Heng Wang, Dan Klein et al.
Explanations that reveal all through the definition of encoding
Aahlad Puli, Nhi Nguyen, Rajesh Ranganath
Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization
Haocheng Luo, Tuan Truong, Tung Pham et al.
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
Dongxiao He, Lianze Shan, Jitao Zhao et al.
Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion
Filip Szatkowski, Bartosz Wójcik, Mikołaj Piórczyński et al.
Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels
Haoyang Luo, Zheng Zhang, Yadan Luo
Exploiting LLM Quantization
Kazuki Egashira, Mark Vero, Robin Staab et al.
Exploiting Representation Curvature for Boundary Detection in Time Series
Yooju Shin, Jaehyun Park, Hwanjun Song et al.
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration
Hongming Zhang, Chenjun Xiao, Chao Gao et al.
Exploration by Learning Diverse Skills through Successor State Representations
Paul-Antoine Le Tolguenec, Yann Besse, Florent Teichteil-Konigsbuch et al.
Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following
Minjong Yoo, Jinwoo Jang, Wei-jin Park et al.
Exploring Adversarial Robustness of Deep State Space Models
Biqing Qi, Yiang Luo, Junqi Gao et al.
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
Xin-Chun Li, Jin-Lin Tang, Bo Zhang et al.
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
Yule Wang, Chengrui Li, Weihan Li et al.
Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks
Xuyuan Liu, Yinghao Cai, Qihui Yang et al.
Exploring Context Window of Large Language Models via Decomposed Positional Vectors
Zican Dong, Junyi Li, Xin Men et al.
Exploring DCN-like architecture for fast image generation with arbitrary resolution
Shuai Wang, Zexian Li, Tianhui Song et al.
Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization
Chen Hang, Zhe Ma, Haoming Chen et al.
Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations
Artem Agafonov, Petr Ostroukhov, Roman Mozhaev et al.
Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing
Siyi Chen, Huijie Zhang, Minzhe Guo et al.
Exploring Molecular Pretraining Model at Scale
Xiaohong Ji, Zhen Wang, Zhifeng Gao et al.
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation
Mingjia Li, Shuang Li, Tongrui Su et al.
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
Yuanlin Duan, Guofeng Cui, He Zhu