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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)

Preference Identification by Interaction Overlap for Bundle Recommendation IJCAI 2025 Preference Optimization for Reasoning with Pseudo Feedback ICLR 2025 Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models AAAI 2025 Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning EMNLP 2025 Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract) AAAI 2025 Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing CVPR 2025 Preserving Diversity in Supervised Fine-Tuning of Large Language Models ICLR 2025 Preserving Zero-shot Capability in Supervised Fine-tuning for Multi-label Text Classification NAACL 2025 PresiUniv at FinCausal 2025 Shared Task: Applying Fine-tuned Language Models to Explain Financial Cause and Effect with Zero-shot Learning COLING 2025 PreSumm: Predicting Summarization Performance Without Summarizing ACL 2025 Pre-trained Behavioral Model for Malicious User Prediction on Social Platform AAAI 2025 Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers EMNLP 2025 Pre-Trained Multiple Latent Variable Generative Models are Good Defenders Against Adversarial Attacks WACV 2025 Pretrained Reversible Generation as Unsupervised Visual Representation Learning ICCV 2025 Pre-Trained Vision-Language Models as Noisy Partial Annotators AAAI 2025 Pre-training Auto-regressive Robotic Models with 4D Representations ICML 2025 Pre-Training Curriculum for Multi-Token Prediction in Language Models ACL 2025 Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation ICML 2025 Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck AAAI 2025 Pretraining Strategies using Monolingual and Parallel Data for Low-Resource Machine Translation ACL 2025 Preventing Latent Diffusion Model-Based Image Mimicry via Angle Shifting and Ensemble Learning IJCAI 2025 Preventing Rogue Agents Improves Multi-Agent Collaboration ACL 2025 PricingLogic: Evaluating LLMs Reasoning on Complex Tourism Pricing Tasks EMNLP 2025 Primal-Dual Spectral Representation for Off-policy Evaluation AISTATS 2025 PRIMAL: Physically Reactive and Interactive Motor Model for Avatar Learning ICCV 2025