Papers
11,955 papers found
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
Yuan Cheng, Ruiquan Huang, Yingbin Liang et al.
Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography
Akarsh Pokkunuru, Pedram Rooshenas, Thilo Strauss et al.
Improving Deep Policy Gradients with Value Function Search
Enrico Marchesini, Christopher Amato
Improving Deep Regression with Ordinal Entropy
Shihao Zhang, Linlin Yang, Michael Bi Mi et al.
Improving Differentiable Neural Architecture Search by Encouraging Transferability
Parth Sheth, Pengtao Xie
Improving Object-centric Learning with Query Optimization
Baoxiong Jia, Yu Liu, Siyuan Huang
Improving Out-of-distribution Generalization with Indirection Representations
Kha Pham, Hung Le, Man Ngo et al.
Improving the imputation of missing data with Markov Blanket discovery
Yang Liu, Anthony Constantinou
InCoder: A Generative Model for Code Infilling and Synthesis
Daniel Fried, Armen Aghajanyan, Jessy Lin et al.
Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks
Charles Jin, Melinda Sun, Martin Rinard
In-context Reinforcement Learning with Algorithm Distillation
Michael Laskin, Luyu Wang, Junhyuk Oh et al.
Incremental Learning of Structured Memory via Closed-Loop Transcription
Shengbang Tong, Xili Dai, Ziyang Wu et al.
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Hao He, Kaiwen Zha, Dina Katabi
Individual Privacy Accounting with Gaussian Differential Privacy
Antti Koskela, Marlon Tobaben, Antti Honkela
Inequality phenomenon in $l_{\infty}$-adversarial training, and its unrealized threats
Ranjie Duan, YueFeng Chen, Yao Zhu et al.
Information Plane Analysis for Dropout Neural Networks
Linara Adilova, Bernhard C Geiger, Asja Fischer
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Ziqiao Wang, Yongyi Mao
Information-Theoretic Diffusion
Xianghao Kong, Rob Brekelmans, Greg Ver Steeg
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
Zhuoran Yu, Yin Li, Yong Jae Lee
In-sample Actor Critic for Offline Reinforcement Learning
Hongchang Zhang, Yixiu Mao, Boyuan Wang et al.
In-Situ Text-Only Adaptation of Speech Models with Low-Overhead Speech Imputations
Ashish Mittal, Sunita Sarawagi, Preethi Jyothi
Instance-wise Batch Label Restoration via Gradients in Federated Learning
Kailang Ma, Yu Sun, Jian Cui et al.
Integrating Symmetry into Differentiable Planning with Steerable Convolutions
Linfeng Zhao, Xupeng Zhu, Lingzhi Kong et al.
Interaction-Based Disentanglement of Entities for Object-Centric World Models
Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo