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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) (Student Abstract) AAAI 2025 Conceptual Diagnostics for Knowledge Graphs and Large Language Models ACL 2025 ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning EMNLP 2025 ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models EMNLP 2025 CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts ICLR 2025 CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching EMNLP 2025 Condensing Action Segmentation Datasets via Generative Network Inversion CVPR 2025 ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalizatio WACV 2025 Conditional Average Treatment Effect Estimation Under Hidden Confounders UAI 2025 Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction IJCAI 2025 Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting IJCAI 2025 Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation ICLR 2025 Conditional Diffusion Models Based Conditional Independence Testing AAAI 2025 Conditional diffusions for amortized neural posterior estimation AISTATS 2025 Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests AAAI 2025 Conditional GAN for Enhancing Diffusion Models in Efficient and Authentic Global Gesture Generation from Audios WACV 2025 Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning IJCAI 2025 Conditional Information Bottleneck-Based Multivariate Time Series Forecasting IJCAI 2025 Conditional Kernel Imitation Learning for Continuous State Environments L4DC 2025 Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression AAAI 2025 Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation ICCV 2025 Conditional [MASK] Discrete Diffusion Language Model EMNLP 2025 Conditional Multi-Stage Failure Recovery for Embodied Agents ACL 2025 Conditional Prediction ROC Bands for Graph Classification AISTATS 2025 Conditional Semantic Textual Similarity via Conditional Contrastive Learning COLING 2025