ICLR Poster Papers
5,330 papers found • Page 12 of 107
Combining Induction and Transduction for Abstract Reasoning
Wen-Ding Li, Keya Hu, Carter Larsen et al.
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
Hongxin Zhang, Zeyuan Wang, Qiushi Lyu et al.
COME: Test-time Adaption by Conservatively Minimizing Entropy
Qingyang Zhang, Yatao Bian, Xinke Kong et al.
ComLoRA: A Competitive Learning Approach for Enhancing LoRA
Qiushi Huang, Tom Ko, Lilian Tang et al.
Commit0: Library Generation from Scratch
Wenting Zhao, Nan Jiang, Celine Lee et al.
CO-MOT: Boosting End-to-end Transformer-based Multi-Object Tracking via Coopetition Label Assignment and Shadow Sets
feng yan, Weixin Luo, Yujie Zhong et al.
Comparing noisy neural population dynamics using optimal transport distances
Amin Nejatbakhsh, Victor Geadah, Alex Williams et al.
Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources
Vibhhu Sharma, Bryan Wilder
ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors
Tianxin Huang, Zhiwen Yan, Yuyang Zhao et al.
Competing Large Language Models in Multi-Agent Gaming Environments
Jen-Tse Huang, Eric John Li, Man Ho LAM et al.
Competition Dynamics Shape Algorithmic Phases of In-Context Learning
Core Francisco Park, Ekdeep Singh Lubana, Hidenori Tanaka
Competitive Fair Scheduling with Predictions
Tianming Zhao, Chunqiu xia, Xiaomin Chang et al.
Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement
Yuhang Li, Zhuying Li, Yuheng Jia
Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness
Michael Crawshaw, Mingrui Liu
Composable Interventions for Language Models
Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang et al.
Composing Unbalanced Flows for Flexible Docking and Relaxation
Gabriele Corso, Vignesh Ram Somnath, Noah Getz et al.
Compositional Entailment Learning for Hyperbolic Vision-Language Models
Avik Pal, Max van Spengler, Guido D'Amely di Melendugno et al.
Compositional simulation-based inference for time series
Manuel Gloeckler, Shoji Toyota, Kenji Fukumizu et al.
Computational Explorations of Total Variation Distance
Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel et al.
Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
Jerry Yao-Chieh Hu, Maojiang Su, En-Jui Kuo et al.
Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics
Runzhe Wu, Ayush Sekhari, Akshay Krishnamurthy et al.
Compute-Constrained Data Selection
Junjie Oscar Yin, Alexander Rush
Compute-Optimal LLMs Provably Generalize Better with Scale
Marc Finzi, Sanyam Kapoor, Diego Granziol et al.
Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
Zhihai Wang, Jie Wang, Xilin Xia et al.
Concept Bottleneck Language Models For Protein Design
Aya Ismail, Tuomas Oikarinen, Amy Wang et al.
Concept Bottleneck Large Language Models
Chung-En Sun, Tuomas Oikarinen, Berk Ustun et al.
Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate
Byung Hyun Lee, Sungjin Lim, Seunggyu Lee et al.
ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning
Ruchika Chavhan, Da Li, Timothy Hospedales
Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing
Keltin Grimes, Marco Christiani, David Shriver et al.
ConcreTizer: Model Inversion Attack via Occupancy Classification and Dispersion Control for 3D Point Cloud Restoration
Youngseok Kim, Sunwook Hwang, Hyung-Sin Kim et al.
CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts
Jihye Choi, Jayaram Raghuram, Yixuan Li et al.
Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation
Rong Tang, Lizhen Lin, Yun Yang
Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies
Hyuna Cho, Ziquan Wei, Seungjoo Lee et al.
Conditional Testing based on Localized Conformal $p$-values
Xiaoyang Wu, Lin Lu, Zhaojun Wang et al.
Confidence Elicitation: A New Attack Vector for Large Language Models
Brian Formento, Chuan Sheng Foo, See-Kiong Ng
ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks
Qiang Liu, Mengyu Chu, Nils Thuerey
Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning
Dohyeong Kim, Mineui Hong, Jeongho Park et al.
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
Michelle Zhao, Henny Admoni, Reid Simmons et al.
Conformalized Survival Analysis for General Right-Censored Data
Hen Davidov, Shai Feldman, Gil Shamai et al.
Conformal Language Model Reasoning with Coherent Factuality
Maxon Rubin-Toles, Maya Gambhir, Keshav Ramji et al.
Conformal Prediction Sets Can Cause Disparate Impact
Jesse Cresswell, Bhargava Kumar, Yi Sui et al.
Conformal Structured Prediction
Botong Zhang, Shuo Li, Osbert Bastani
CONGO: Compressive Online Gradient Optimization
Jeremy Carleton, Prathik Vijaykumar, Divyanshu Saxena et al.
ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering
Zhixin Li, Yuheng Jia
Connecting Federated ADMM to Bayes
Siddharth Swaroop, Mohammad Emtiyaz Khan, Finale Doshi-Velez
Connectome Mapping: Shape-Memory Network via Interpretation of Contextual Semantic Information
Kyungsu Lee, Haeyun Lee, Jae Youn Hwang
Conservative Contextual Bandits: Beyond Linear Representations
Rohan Deb, Mohammad Ghavamzadeh, Arindam Banerjee
Consistency Checks for Language Model Forecasters
Daniel Paleka, Abhimanyu Pallavi Sudhir, Alejandro Alvarez et al.
Consistency Models Made Easy
Zhengyang Geng, Ashwini Pokle, Weijian Luo et al.