ICLR Papers
6,124 papers found • Page 33 of 123
ImDy: Human Inverse Dynamics from Imitated Observations
Xinpeng Liu, Junxuan Liang, Zili Lin et al.
Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection
Song Li, Yang Tan, Song Ke et al.
Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression
Shuang Liang, Guido Montufar
Implicit In-context Learning
Zhuowei Li, Zihao Xu, Ligong Han et al.
Implicit Neural Surface Deformation with Explicit Velocity Fields
Lu Sang, Zehranaz Canfes, Dongliang Cao et al.
Implicit Search via Discrete Diffusion: A Study on Chess
Jiacheng Ye, Zhenyu Wu, Jiahui Gao et al.
Improved Algorithms for Kernel Matrix-Vector Multiplication Under Sparsity Assumptions
Piotr Indyk, Michael Kapralov, Kshiteej Jitesh Sheth et al.
Improved Approximation Algorithms for $k$-Submodular Maximization via Multilinear Extension
Huanjian Zhou, Lingxiao Huang, Baoxiang Wang
Improved Convergence Rate for Diffusion Probabilistic Models
Gen Li, Yuchen Jiao
Improved Diffusion-based Generative Model with Better Adversarial Robustness
Zekun Wang, Mingyang Yi, Shuchen Xue et al.
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
Sayan Banerjee, Krishna Balasubramanian, PROMIT GHOSAL
Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization
XiangCheng Zhang, Fang Kong, Baoxiang Wang et al.
Improved Sampling Algorithms for Lévy-Itô Diffusion Models
Vadim Popov, Assel Yermekova, Tasnima Sadekova et al.
Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula
Youssef Shehata, Benjamin Holzschuh, Nils Thuerey
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
Xiaojun Jia, Tianyu Pang, Chao Du et al.
Improved Training Technique for Latent Consistency Models
Minh Quan Dao, Khanh Doan, Di Liu et al.
ImProver: Agent-Based Automated Proof Optimization
Riyaz Ahuja, Jeremy Avigad, Prasad Tetali et al.
Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach
Sinan Fan, Liang Xie, Chen Shen et al.
Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization
Rei Higuchi, Pierre-Louis Poirion, Akiko Takeda
Improving Data Efficiency via Curating LLM-Driven Rating Systems
Jinlong Pang, Jiaheng Wei, Ankit Parag Shah et al.
Improving Deep Regression with Tightness
Shihao Zhang, Yuguang Yan, Angela Yao
Improving Equivariant Networks with Probabilistic Symmetry Breaking
Hannah Lawrence, Vasco Portilheiro, Yan Zhang et al.
Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks
Bhaskar Mukhoty, Hilal AlQuabeh, Bin Gu
Improving Graph Neural Networks by Learning Continuous Edge Directions
Seong Ho Pahng, Sahand Hormoz
Improving Instruction-Following in Language Models through Activation Steering
Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi et al.
Improving Language Model Distillation through Hidden State Matching
Sayantan Dasgupta, Trevor Cohn
Improving Large Language Model Planning with Action Sequence Similarity
Xinran Zhao, Hanie Sedghi, Bernd Bohnet et al.
Improving Long-Text Alignment for Text-to-Image Diffusion Models
Luping Liu, Chao Du, Tianyu Pang et al.
Improving Neural Network Accuracy by Concurrently Training with a Twin Network
Benjamin Vandersmissen, Lucas Deckers, Jose Oramas
Improving Neural Optimal Transport via Displacement Interpolation
Jaemoo Choi, Yongxin Chen, Jaewoong Choi
Improving Pretraining Data Using Perplexity Correlations
Tristan Thrush, Christopher Potts, Tatsunori Hashimoto
Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching
Zijing Ou, Mingtian Zhang, Andi Zhang et al.
Improving Reasoning Performance in Large Language Models via Representation Engineering
Bertram Højer, Oliver Jarvis, Stefan Heinrich
Improving Semantic Understanding in Speech Language Models via Brain-tuning
Omer Moussa, Dietrich Klakow, Mariya Toneva
Improving Text-to-Image Consistency via Automatic Prompt Optimization
Melissa Hall, Michal Drozdzal, Oscar Mañas et al.
Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency
Jiangrong Shen, Qi Xu, Gang Pan et al.
Improving Uncertainty Estimation through Semantically Diverse Language Generation
Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi et al.
Improving Unsupervised Constituency Parsing via Maximizing Semantic Information
Junjie Chen, Xiangheng He, Yusuke Miyao et al.
ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences
Yuxin Wang, Xiaomeng Zhu, Weimin Lyu et al.
Imputation for prediction: beware of diminishing returns.
Marine Le Morvan, Gael Varoquaux
INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
Angelika Romanou, Negar Foroutan, Anna Sotnikova et al.
InCoDe: Interpretable Compressed Descriptions For Image Generation
Armand Comas, Aditya Chattopadhyay, Feliu Formosa et al.
In-Context Editing: Learning Knowledge from Self-Induced Distributions
Siyuan Qi, Bangcheng Yang, Kailin Jiang et al.
In-context Time Series Predictor
Jiecheng Lu, Yan Sun, Shihao Yang
Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On
Siqi Wan, Jingwen Chen, Yingwei Pan et al.
Incremental Causal Effect for Time to Treatment Initialization
Andrew Ying, Zhichen Zhao, Ronghui Xu
Indirect Gradient Matching for Adversarial Robust Distillation
Hongsin Lee, Seungju Cho, Changick Kim
INFER: A Neural-symbolic Model For Extrapolation Reasoning on Temporal Knowledge Graph
Ningyuan Li, Haihong E, Tianyu Yao et al.
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
Yinlam Chow, Guy Tennenholtz, Izzeddin Gur et al.
Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters
Kevin Li, Sachin Goyal, João D Semedo et al.