Papers
11,015 papers found
Encoding Recurrence into Transformers
Feiqing Huang, Kexin Lu, Yuxi CAI et al.
Energy-based Out-of-Distribution Detection for Graph Neural Networks
Qitian Wu, Yiting Chen, Chenxiao Yang et al.
Energy-Based Test Sample Adaptation for Domain Generalization
Zehao Xiao, Xiantong Zhen, Shengcai Liao et al.
Energy-Inspired Self-Supervised Pretraining for Vision Models
Ze Wang, Jiang Wang, Zicheng Liu et al.
Enhancing Meta Learning via Multi-Objective Soft Improvement Functions
Runsheng Yu, Weiyu Chen, Xinrun Wang et al.
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems
Suresh Bishnoi, Ravinder Bhattoo, Jayadeva Jayadeva et al.
Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints
Tianyu Zhao, Xiang Pan, Minghua Chen et al.
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data
Michael Crawshaw, Yajie Bao, Mingrui Liu
Equal Improvability: A New Fairness Notion Considering the Long-term Impact
Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn et al.
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
Yi-Lun Liao, Tess Smidt
EquiMod: An Equivariance Module to Improve Visual Instance Discrimination
Alexandre DEVILLERS, Mathieu Lefort
Equivariance-aware Architectural Optimization of Neural Networks
Kaitlin Maile, Dennis George Wilson, Patrick Forré
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
Hyunwoo Ryu, Hong-in Lee, Jeong-Hoon Lee et al.
Equivariant Energy-Guided SDE for Inverse Molecular Design
Fan Bao, Min Zhao, Zhongkai Hao et al.
Equivariant Hypergraph Diffusion Neural Operators
Peihao Wang, Shenghao Yang, Yunyu Liu et al.
Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design
Keir Adams, Connor W. Coley
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation
Jianye HAO, Pengyi Li, Hongyao Tang et al.
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning
Fahad Sarfraz, Elahe Arani, Bahram Zonooz
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret
Stephen Marcus McAleer, Gabriele Farina, Marc Lanctot et al.
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon et al.
Estimating individual treatment effects under unobserved confounding using binary instruments
Dennis Frauen, Stefan Feuerriegel
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
Yifu Yuan, Jianye HAO, Fei Ni et al.
EVA3D: Compositional 3D Human Generation from 2D Image Collections
Fangzhou Hong, Zhaoxi Chen, Yushi LAN et al.
Evaluating Long-Term Memory in 3D Mazes
Jurgis Pašukonis, Timothy P Lillicrap, Danijar Hafner
Evaluating Representations with Readout Model Switching
Yazhe Li, Jorg Bornschein, Marcus Hutter