Papers
11,015 papers found
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
Interactive Portrait Harmonization
Jeya Maria Jose Valanarasu, HE Zhang, Jianming Zhang et al.
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation
David Lipshutz, Cengiz Pehlevan, Dmitri Chklovskii
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small
Kevin Ro Wang, Alexandre Variengien, Arthur Conmy et al.
Interpretability with full complexity by constraining feature information
Kieran A Murphy, Danielle Bassett
Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization
Prince Osei Aboagye, Yan Zheng, Jack Shunn et al.
Interpretable Geometric Deep Learning via Learnable Randomness Injection
Siqi Miao, Yunan Luo, Mia Liu et al.
Interpretations of Domain Adaptations via Layer Variational Analysis
Huan-Hsin Tseng, Hsin-Yi Lin, Kuo-Hsuan Hung et al.
Investigating Multi-task Pretraining and Generalization in Reinforcement Learning
Adrien Ali Taiga, Rishabh Agarwal, Jesse Farebrother et al.
ISAAC Newton: Input-based Approximate Curvature for Newton's Method
Felix Petersen, Tobias Sutter, Christian Borgelt et al.