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)

Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression NeurIPS 2024 Offline Reward Perturbation Boosts Distributional Shift in Online RL UAI 2024 Offline RL with Observation Histories: Analyzing and Improving Sample Complexity ICLR 2024 Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning JMLR 2024 Off-Policy Primal-Dual Safe Reinforcement Learning ICLR 2024 Of Models and Men: Probing Neural Networks for Agreement Attraction with Psycholinguistic Data CoNLL 2024 Oja's Algorithm for Streaming Sparse PCA NeurIPS 2024 OLIVE: Object Level In-Context Visual Embeddings ACL 2024 OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning ICML 2024 Omega-Regular Decision Processes AAAI 2024 OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding NeurIPS 2024 OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems EMNLP 2024 OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers CVPR 2024 OmniGlue: Generalizable Feature Matching with Foundation Model Guidance CVPR 2024 OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents NeurIPS 2024 OmniMotionGPT: Animal Motion Generation with Limited Data CVPR 2024 OmniParser: A Unified Framework for Text Spotting Key Information Extraction and Table Recognition CVPR 2024 Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency AAAI 2024 Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding CVPR 2024 OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning CVPR 2024 OmniVec: Learning Robust Representations With Cross Modal Sharing WACV 2024 OmniViD: A Generative Framework for Universal Video Understanding CVPR 2024 On Adversarial Training without Perturbing all Examples ICLR 2024 On Affine Homotopy between Language Encoders NeurIPS 2024 On an Intermediate Task for Classifying URL Citations on Scholarly Papers COLING 2024