Papers
Dynamic Pricing and Learning with Bayesian Persuasion
Shipra Agrawal, Yiding Feng, Wei Tang
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
kai wang, Fei Yang, Shiqi Yang et al.
Dynamic Regret of Adversarial Linear Mixture MDPs
Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies
Michael Beukman, Devon Jarvis, Richard Klein et al.
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks
Blake Bordelon, Cengiz Pehlevan
Dynamic Sparsity Is Channel-Level Sparsity Learner
Lu Yin, Gen Li, Meng Fang et al.
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
Zheng Wang, Shikai Fang, Shibo Li et al.
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes
Yihong Sun, Bharath Hariharan
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets
Lazar Atanackovic, Alexander Tong, Bo Wang et al.
DynPoint: Dynamic Neural Point For View Synthesis
Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin et al.
E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning
Xiuhong Lin, Changjie Qiu, zhipeng cai et al.
Easy Learning from Label Proportions
Róbert Busa-Fekete, Heejin Choi, Travis Dick et al.
ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram
Jungwoo Oh, Gyubok Lee, Seongsu Bae et al.
Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion
Yang Liu, Feng Wang, Naiyan Wang et al.
Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes
Connor Toups, Rishi Bommasani, Kathleen Creel et al.
EDGI: Equivariant Diffusion for Planning with Embodied Agents
Johann Brehmer, Joey Bose, Pim de Haan et al.
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks
Alexander Immer, Emanuele Palumbo, Alexander Marx et al.
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
Hussein Mozannar, Jimin Lee, Dennis Wei et al.
Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning
Akhil Bagaria, Ben Abbatematteo, Omer Gottesman et al.
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
Zhouxing Shi, Nicholas Carlini, Ananth Balashankar et al.
Effective Targeted Attacks for Adversarial Self-Supervised Learning
Minseon Kim, Hyeonjeong Ha, Sooel Son et al.
Efficient Activation Function Optimization through Surrogate Modeling
Garrett Bingham, Risto Miikkulainen
Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
Wei Dong, Dawei Yan, Zhijun Lin et al.
Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning
Guanlin Liu, Lifeng LAI
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection
Xilie Xu, Jingfeng ZHANG, Feng Liu et al.