Papers
21,849 papers found
Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits
Shuai Liu, Alex Ayoub, Flore Sentenac et al.
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction
Manuel Brenner, Christoph Jürgen Hemmer, Zahra Monfared et al.
Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits
Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong
Almost Surely Asymptotically Constant Graph Neural Networks
Sam Adam-Day, Michael Benedikt, İsmail İlkan Ceylan et al.
A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs
Haoxuan Li, Yue Liu, Zhi Geng et al.
AlphaMath Almost Zero: Process Supervision without Process
Guoxin Chen, Minpeng Liao, Chengxi Li et al.
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
Haiquan Lu, Yefan Zhou, Shiwei Liu et al.
AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos
Yuze He, Wang Zhao, Shaohui Liu et al.
ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models
Siwei Wang, Yifei Shen, Shi Feng et al.
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
Xiang Meng, Kayhan Behdin, Haoyue Wang et al.
AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking
Shiqi Sun, Yantao Lu, Ning Liu et al.
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
Jake Grigsby, Justin Sasek, Samyak Parajuli et al.
AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
Irina Saparina, Mirella Lapata
A Metalearned Neural Circuit for Nonparametric Bayesian Inference
Jake C. Snell, Gianluca M. Bencomo, Thomas L. Griffiths
A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning
Jacob Adkins, Michael Bowling, Adam White
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection
Dongsu Song, Daehwa Ko, Jay Hoon Jung
A Modular Conditional Diffusion Framework for Image Reconstruction
Magauiya Zhussip, Iaroslav Koshelev, Stamatis Lefkimmiatis
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment
Yonggan Fu, Zhongzhi Yu, Junwei Li et al.
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
Jian Guan, Wei Wu, Zujie Wen et al.
Amortized Active Causal Induction with Deep Reinforcement Learning
Yashas Annadani, Panagiotis Tigas, Stefan Bauer et al.
Amortized Bayesian Experimental Design for Decision-Making
Daolang Huang, Yujia Guo, Luigi Acerbi et al.
Amortized Eigendecomposition for Neural Networks
Tianbo Li, Zekun Shi, Jiaxi Zhao et al.
Amortized Fourier Neural Operators
Zipeng Xiao, Siqi Kou, Zhongkai Hao et al.
Amortized Planning with Large-Scale Transformers: A Case Study on Chess
Anian Ruoss, Grégoire Delétang, Sourabh Medapati et al.
Amortizing intractable inference in diffusion models for vision, language, and control
Siddarth Venkatraman, Moksh Jain, Luca Scimeca et al.