ICLR 2024 Papers
2,297 papers found • Page 7 of 46
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.
Circumventing Concept Erasure Methods For Text-To-Image Generative Models
Minh Pham, Kelly Marshall, Niv Cohen et al.
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents
Siyuan Qi, Shuo Chen, Yexin Li et al.
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech
Jaehyeon Kim, Keon Lee, Seungjun Chung et al.
CLAP: Collaborative Adaptation for Patchwork Learning
Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan et al.
Classification with Conceptual Safeguards
Hailey Joren, Charles Marx, Berk Ustun
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Haowei Lin, Yijia Shao, Weinan Qian et al.
Class Probability Matching with Calibrated Networks for Label Shift Adaption
Hongwei Wen, Annika Betken, Hanyuan Hang
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform
Shengyi Huang, Jiayi Weng, Rujikorn Charakorn et al.
CLEX: Continuous Length Extrapolation for Large Language Models
Guanzheng Chen, Xin Li, Zaiqiao Meng et al.
Clifford Group Equivariant Simplicial Message Passing Networks
Cong Liu, David Ruhe, Floor Eijkelboom et al.
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
Yogesh Verma, Markus Heinonen, Vikas Garg
CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding
Qiongyi Zhou, Changde Du, Shengpei Wang et al.
CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction
Size Wu, Wenwei Zhang, Lumin Xu et al.
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
Ibrahim Alabdulmohsin, Xiao Wang, Andreas Steiner et al.
Closing the Curious Case of Neural Text Degeneration
Matthew Finlayson, John Hewitt, Alexander Koller et al.
Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
Raj Ghugare, Matthieu Geist, Glen Berseth et al.
CNN Kernels Can Be the Best Shapelets
Eric Qu, Yansen Wang, Xufang Luo et al.
CO2: Efficient Distributed Training with Full Communication-Computation Overlap
Weigao Sun, Qin Zhen, Weixuan Sun et al.
CoBIT: A Contrastive Bi-directional Image-Text Generation Model
Haoxuan You, Xiaoyue Guo, Zhecan Wang et al.
COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
Anne Harrington, Vasha DuTell, Mark Hamilton et al.
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
Hung Le, Hailin Chen, Amrita Saha et al.
CODE REPRESENTATION LEARNING AT SCALE
Dejiao Zhang, Wasi Ahmad, Ming Tan et al.
Coeditor: Leveraging Repo-level Diffs for Code Auto-editing
Jiayi Wei, Greg Durrett, Isil Dillig
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
Mintong Kang, Nezihe Merve Gürel, Linyi Li et al.
CoLiDE: Concomitant Linear DAG Estimation
Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper
COLLIE: Systematic Construction of Constrained Text Generation Tasks
Shunyu Yao, Howard Chen, Austin Hanjie et al.
Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback
Yiliu Wang, Wei Chen, Milan Vojnovic