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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation CVPR 2025 SciBERT Meets Contrastive Learning: A Solution for Scientific Hallucination Detection ACL 2025 Science-T2I: Addressing Scientific Illusions in Image Synthesis CVPR 2025 SciEvent: Benchmarking Multi-domain Scientific Event Extraction EMNLP 2025 SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature EMNLP 2025 SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning Types ACL 2025 SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications ICCV 2025 SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection AAAI 2025 SCoder: Progressive Self-Distillation for Bootstrapping Small-Scale Data Synthesizers to Empower Code LLMs EMNLP 2025 SConU: Selective Conformal Uncertainty in Large Language Models ACL 2025 SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation ICLR 2025 Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability JMLR 2025 Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models ICLR 2025 Score matching for bridges without learning time-reversals AISTATS 2025 ScoreNet: Consistency-driven Framework with Multi-side Information Fusion for Session-based Recommendation AAAI 2025 SCOT: Self-Supervised Contrastive Pretraining for Zero-Shot Compositional Retrieval WACV 2025 SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selection IJCAI 2025 scRAG: Hybrid Retrieval-Augmented Generation for LLM-based Cross-Tissue Single-Cell Annotation ACL 2025 Screening, Rectifying, and Re-Screening: A Unified Framework for Tuning Vision-Language Models with Noisy Labels IJCAI 2025 SCRIBE: Structured Chain Reasoning for Interactive Behaviour Explanations using Tool Calling EMNLP 2025 scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data IJCAI 2025 scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data ICML 2025 SCULPT: Systematic Tuning of Long Prompts ACL 2025 SD2Actor: Continuous State Decomposition via Diffusion Embeddings for Robotic Manipulation ICCV 2025 SdalsNet: Self-Distilled Attention Localization and Shift Network for Unsupervised Camouflaged Object Detection AAAI 2025