Papers
Exploration via Planning for Information about the Optimal Trajectory
Viraj Mehta, Ian Char, Joseph Abbate et al.
Exploring evolution-aware & -free protein language models as protein function predictors
Mingyang Hu, Fajie Yuan, Kevin Yang et al.
Exploring Example Influence in Continual Learning
Qing Sun, Fan Lyu, Fanhua Shang et al.
Exploring Figure-Ground Assignment Mechanism in Perceptual Organization
Wei Zhai, Yang Cao, Jing Zhang et al.
Exploring Length Generalization in Large Language Models
Cem Anil, Yuhuai Wu, Anders Andreassen et al.
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability
Peisong Wen, Qianqian Xu, Zhiyong Yang et al.
Exploring the Latent Space of Autoencoders with Interventional Assays
Felix Leeb, Stefan Bauer, Michel Besserve et al.
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
Boxin Wang, Wei Ping, Chaowei Xiao et al.
Exploring the Whole Rashomon Set of Sparse Decision Trees
Rui Xin, Chudi Zhong, Zhi Chen et al.
Exploring through Random Curiosity with General Value Functions
Aditya Ramesh, Louis Kirsch, Sjoerd van Steenkiste et al.
Exponential Family Model-Based Reinforcement Learning via Score Matching
Gene Li, Junbo Li, Anmol Kabra et al.
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks
Anders Aamand, Justin Chen, Piotr Indyk et al.
Exponential Separations in Symmetric Neural Networks
Aaron Zweig, Joan Bruna
Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training
Peng Jiang, Lihan Hu, Shihui Song
Extracting computational mechanisms from neural data using low-rank RNNs
Adrian Valente, Jonathan W Pillow, Srdjan Ostojic
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
Kimon Antonakopoulos, Ali Kavis, Volkan Cevher
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
Yongtao Wu, Zhenyu Zhu, Fanghui Liu et al.
Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation
Hengguan Huang, Xiangming Gu, Hao Wang et al.
EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring
Yash Akhauri, Juan Munoz, Nilesh Jain et al.
FACT: Learning Governing Abstractions Behind Integer Sequences
Peter Belcak, Ard Kastrati, Flavio Schenker et al.
Factored Adaptation for Non-Stationary Reinforcement Learning
Fan Feng, Biwei Huang, Kun Zhang et al.
Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits
Tong Mu, Yash Chandak, Tatsunori B Hashimoto et al.
Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching
Wonyong Jeong, Sung Ju Hwang
Factuality Enhanced Language Models for Open-Ended Text Generation
Nayeon Lee, Wei Ping, Peng Xu et al.
Fair and Efficient Allocations Without Obvious Manipulations
Alexandros Psomas, Paritosh Verma