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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)

Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation AAAI 2025 Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models EMNLP 2025 Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning AAAI 2025 Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? CVPR 2025 Training Data Soft Selection via Joint Density Ratio Estimation ACML 2025 Training Deep Neural Networks with Virtual Smoothing Classes AAAI 2025 Training-Free Class Purification for Open-Vocabulary Semantic Segmentation ICCV 2025 Training-Free Dataset Pruning for Instance Segmentation ICLR 2025 Training-free Generation of Temporally Consistent Rewards from VLMs ICCV 2025 Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights CVPR 2025 Training-free Open-Vocabulary Semantic Segmentation via Diverse Prototype Construction and Sub-region Matching AAAI 2025 Training-Free Personalization via Retrieval and Reasoning on Fingerprints ICCV 2025 Training-Free Text-Guided Image Editing with Visual Autoregressive Model ICCV 2025 Training Language Models on Synthetic Edit Sequences Improves Code Synthesis ICLR 2025 Training Language Models to Critique With Multi-agent Feedback EMNLP 2025 Training Language Model to Critique for Better Refinement ACL 2025 Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction ICLR 2025 Training LayoutLM from Scratch for Efficient Named-Entity Recognition in the Insurance Domain COLING 2025 Training LLMs for Optimization Modeling via Iterative Data Synthesis and Structured Validation EMNLP 2025 Training LLMs to be Better Text Embedders through Bidirectional Reconstruction EMNLP 2025 Training Matting Models Without Alpha Labels AAAI 2025 Training Medical QA Models Based on Mixed Rewards from Multiple-Choice and Open-Ended Questions EMNLP 2025 Training Neural Samplers with Reverse Diffusive KL Divergence AISTATS 2025 Training Robust Ensembles Requires Rethinking Lipschitz Continuity ICLR 2025 Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding EMNLP 2025