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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

Déjà Vu? Decoding Repeated Reading from Eye Movements ACL 2025 Delay as Payoff in MAB AAAI 2025 Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph ICML 2025 Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model ACL 2025 Deliberation in Latent Space via Differentiable Cache Augmentation ICML 2025 DELIFT: Data Efficient Language model Instruction Fine-Tuning ICLR 2025 DeLLMa: Decision Making Under Uncertainty with Large Language Models ICLR 2025 Deloitte (Drocks) at SemEval-2025 Task 3: Fine-Grained Multi-lingual Hallucination Detection Using Internal LLM Weights SemEval 2025 Deloitte (Drocks) at the Financial Misinformation Detection Challenge Task: Enhancing Misinformation Detection through Instruction-Tuned Models COLING 2025 DeLTa: A Decoding Strategy based on Logit Trajectory Prediction Improves Factuality and Reasoning Ability EMNLP 2025 Delta Decompression for MoE-based LLMs Compression ICML 2025 Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer’s Disease Detection ACL 2025 Delta-NAS: Difference of Architecture Encoding for Predictor-Based Evolutionary Neural Architecture Search WACV 2025 DELTA: Pre-Train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment AAAI 2025 DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation CVPR 2025 Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language Models ACL 2025 DeMAC: Enhancing Multi-Agent Coordination with Dynamic DAG and Manager-Player Feedback EMNLP 2025 De-mark: Watermark Removal in Large Language Models ICML 2025 Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate ICML 2025 Dementia Through Different Eyes: Explainable Modeling of Human and LLM Perceptions for Early Awareness EMNLP 2025 DeMeVa at LeWiDi-2025: Modeling Perspectives with In-Context Learning and Label Distribution Learning EMNLP 2025 Democratic Training Against Universal Adversarial Perturbations ICLR 2025 DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification AAAI 2025 DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning AAAI 2025 DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning RSS 2025