Skip to content
conftrace_

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)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Pedagogical Alignment of Large Language Models EMNLP 2024 Pedagogically Aligned Objectives Create Reliable Automatic Cloze Tests NAACL 2024 PEDANTS: Cheap but Effective and Interpretable Answer Equivalence EMNLP 2024 PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor CVPR 2024 Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations AAAI 2024 Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization AAAI 2024 Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification EMNLP 2024 PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning ACL 2024 PepRec: Progressive Enhancement of Prompting for Recommendation EMNLP 2024 Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers NeurIPS 2024 Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization AAAI 2024 PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts ICLR 2024 Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering NeurIPS 2024 Perceptual Group Tokenizer: Building Perception with Iterative Grouping ICLR 2024 Perfect Alignment May be Poisonous to Graph Contrastive Learning ICML 2024 PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search AAAI 2024 Performance Analysis of Speech Encoders for Low-Resource SLU and ASR in Tunisian Dialect ACL 2024 Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale EMNLP 2024 Performative Reinforcement Learning in Gradually Shifting Environments UAI 2024 Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis NeurIPS 2024 Periodic agent-state based Q-learning for POMDPs NeurIPS 2024 Permutation-Aware Activity Segmentation via Unsupervised Frame-To-Segment Alignment WACV 2024 Permutation-Based Hypothesis Testing for Neural Networks AAAI 2024 Perplexity-aware Correction for Robust Alignment with Noisy Preferences NeurIPS 2024 Persistence Homology Distillation for Semi-supervised Continual Learning NeurIPS 2024