Theory
5,579 papers
Papers per year
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4
32
25
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25
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78
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103
156
267
383
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154
2000
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Papers
CARL: A Framework for Equivariant Image Registration
CVPR 2025
Categorical Semantics of Compositional Reinforcement Learning
JMLR 2025
CausalGraphBench: a Benchmark for Evaluating Language Models capabilities of Causal Graph discovery
ACL 2025
CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models
EMNLP 2025
CBMA: Improving Conformal Prediction through Bayesian Model Averaging
ICLR 2025
Certified Causal Defense with Generalizable Robustness
AAAI 2025
Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step
NAACL 2025
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators
ICLR 2025
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine
AAAI 2025
Circuit-Aware d-DNNF Compilation
IJCAI 2025
Circuit Complexity Bounds for RoPE-based Transformer Architecture
EMNLP 2025
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks
AAAI 2025
Comparing noisy neural population dynamics using optimal transport distances
ICLR 2025
Complete Symmetry Breaking for Finite Models
AAAI 2025
Comprehensive Review of Neural Differential Equations for Time Series Analysis
IJCAI 2025
Computationally Hard Problems Are Hard for QBF Proof Systems Too
AAAI 2025
Concentration of Cumulative Reward in Markov Decision Processes
JMLR 2025
Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation
ICLR 2025
Conflicting Needles in a Haystack: How LLMs behave when faced with contradictory information
EMNLP 2025
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
ICLR 2025
Conformalized Answer Set Prediction for Knowledge Graph Embedding
NAACL 2025
Confounding Factors in Relating Model Performance to Morphology
EMNLP 2025
Conservative Contextual Bandits: Beyond Linear Representations
ICLR 2025
Consistency Checks for Language Model Forecasters
ICLR 2025
Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement
EMNLP 2025