Papers
Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism
Xiaohan Zhao, Hualin Zhang, Zhouyuan Huo et al.
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization
Ruichen Jiang, Aryan Mokhtari
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation
Xin Yuan, Pedro Savarese, Michael Maire
Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance
Nikita Kornilov, Ohad Shamir, Aleksandr Lobanov et al.
Accelerating Exploration with Unlabeled Prior Data
Qiyang Li, Jason Zhang, Dibya Ghosh et al.
Accelerating Molecular Graph Neural Networks via Knowledge Distillation
Filip Ekström Kelvinius, Dimitar Georgiev, Artur Toshev et al.
Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction
Yangqing Fu, Ming Sun, Buqing Nie et al.
Accelerating Motion Planning via Optimal Transport
An T. Le, Georgia Chalvatzaki, Armin Biess et al.
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration
Dongyoung Kim, Jinwoo Shin, Pieter Abbeel et al.
Accelerating Value Iteration with Anchoring
Jongmin Lee, Ernest Ryu
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples
Hao Sun, Alihan Hüyük, Daniel Jarrett et al.
Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement
Shizhe Ding, Boyang Xia, Dongbo Bu
Achieving $\mathcal{O}(\epsilon^{-1.5})$ Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization
Yifan Yang, Peiyao Xiao, Kaiyi Ji
Achieving Cross Modal Generalization with Multimodal Unified Representation
Yan Xia, Hai Huang, Jieming Zhu et al.
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
Weijie Tu, Weijian Deng, Tom Gedeon
A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC Settings
Nathaniel Lahn, Sharath Raghvendra, Kaiyi Zhang
A Competitive Algorithm for Agnostic Active Learning
Yihan Zhou, ecprice
A Comprehensive Benchmark for Neural Human Radiance Fields
Kenkun Liu, Derong Jin, Ailing Zeng et al.
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking
Hao Yan, Chaozhuo Li, Ruosong Long et al.
A Computationally Efficient Sparsified Online Newton Method
Fnu Devvrit, Sai Surya Duvvuri, Rohan Anil et al.
A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting
Alexander Tyurin, Peter Richtarik
A Cross-Moment Approach for Causal Effect Estimation
Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash
Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
Peng Jin, Yang Wu, Yanbo Fan et al.
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models
Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt et al.