ICLR Papers
6,124 papers found • Page 83 of 123
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics
Suresh Suresh, Jayadeva Jayadeva, Sayan Ranu et al.
BRUSLEATTACK: A QUERY-EFFICIENT SCORE- BASED BLACK-BOX SPARSE ADVERSARIAL ATTACK
Quoc Viet Vo, Ehsan Abbasnejad, Damith Ranasinghe
BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
Qingqing Cao, Sewon Min, Yizhong Wang et al.
Building Cooperative Embodied Agents Modularly with Large Language Models
Hongxin Zhang, Weihua Du, Jiaming Shan et al.
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
Adam Block, Dylan Foster, Akshay Krishnamurthy et al.
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game
Simin Li, Jun Guo, Jingqiao Xiu et al.
CABINET: Content Relevance-based Noise Reduction for Table Question Answering
Sohan Patnaik, Heril Changwal, Milan Aggarwal et al.
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling
Seyedmorteza Sadat, Jakob Buhmann, Derek Bradley et al.
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
Jiachen Sun, Haizhong Zheng, Qingzhao Zhang et al.
CAMBranch: Contrastive Learning with Augmented MILPs for Branching
Jiacheng Lin, Meng XU, Zhihua Xiong et al.
Cameras as Rays: Pose Estimation via Ray Diffusion
Jason Zhang, Amy Lin, Moneish Kumar et al.
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
olga fourkioti, Matt De Vries, Chris Bakal
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning
Shuo He, Chaojie Wang, Guowu Yang et al.
Can Large Language Models Infer Causation from Correlation?
Zhijing Jin, Jiarui Liu, Zhiheng LYU et al.
Can LLM-Generated Misinformation Be Detected?
Canyu Chen, Kai Shu
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
Miao Xiong, Zhiyuan Hu, Xinyang Lu et al.
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou et al.
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
Vaidehi Ramesh Patil, Peter Hase, Mohit Bansal
Can Transformers Capture Spatial Relations between Objects?
Chuan Wen, Dinesh Jayaraman, Yang Gao
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
JIANFEI YANG, Hanjie Qian, Yuecong Xu et al.
Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
Gourav Datta, Zeyu Liu, Peter Beerel
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
xue wang, Tian Zhou, Qingsong Wen et al.
CAS: A Probability-Based Approach for Universal Condition Alignment Score
Chunsan Hong, ByungHee Cha, Tae-Hyun Oh
Cascading Reinforcement Learning
Yihan Du, R. Srikant, Wei Chen
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
Yangsibo Huang, Samyak Gupta, Mengzhou Xia et al.
Cauchy-Schwarz Divergence Information Bottleneck for Regression
Shujian Yu, Xi Yu, Sigurd Løkse et al.
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
Ziqi Xu, Debo Cheng, Jiuyong Li et al.
Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks
Kesen Zhao, Liang Zhang
CausalLM is not optimal for in-context learning
Nan Ding, Tomer Levinboim, Jialin Wu et al.
Causally Aligned Curriculum Learning
Mingxuan Li, Junzhe Zhang, Elias Bareinboim
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning
Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaña-Brown et al.
Causal-StoNet: Causal Inference for High-Dimensional Complex Data
Yaxin Fang, Faming Liang
Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions
Xiuchuan Li, Kun Zhang, Tongliang Liu
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery
YUXIAO CHENG, Ziqian Wang, Tingxiong Xiao et al.
CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning
Liyiming Ke, Yunchu Zhang, Abhay Deshpande et al.
CellPLM: Pre-training of Cell Language Model Beyond Single Cells
Hongzhi Wen, Wenzhuo Tang, Xinnan Dai et al.
Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks
Bhaskar Mukhoty, Hilal AlQuabeh, Giulia De Masi et al.
Chain-of-Experts: When LLMs Meet Complex Operations Research Problems
Ziyang Xiao, Dongxiang Zhang, Yangjun Wu et al.
Chain of Hindsight aligns Language Models with Feedback
Hao Liu, Carmelo Sferrazza, Pieter Abbeel
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
Xingxuan Li, Ruochen Zhao, Yew Ken Chia et al.
Chain of Log-Concave Markov Chains
Saeed Saremi, Ji Won Park, Francis Bach
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
Zilong Wang, Hao Zhang, Chun-Liang Li et al.
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
Zhiyuan Li, Hong Liu, Denny Zhou et al.
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning
Harsh Chaudhari, Giorgio Severi, Alina Oprea et al.
Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words
Yujia Bao, Srinivasan Sivanandan, THEOFANIS KARALETSOS
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
Chi-Min Chan, Weize Chen, Yusheng Su et al.
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis
Xiaoxiao Sun, Xingjian Leng, Zijian Wang et al.
Circuit Component Reuse Across Tasks in Transformer Language Models
Jack Merullo, Carsten Eickhoff, Ellie Pavlick
CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment
Xun Jiang, zhuomin chai, Yuxiang Zhao et al.