Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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

Papers (including subtopics)

Consensus Learning for Cooperative Multi-Agent Reinforcement Learning AAAI 2023 Conservative State Value Estimation for Offline Reinforcement Learning NeurIPS 2023 Consistency is Key: On Data-Efficient Modality Transfer in Speech Translation EMNLP 2023 Consistency Regularization Training for Compositional Generalization ACL 2023 Consistent Complementary-Label Learning via Order-Preserving Losses AISTATS 2023 Consistent Prototype Learning for Few-Shot Continual Relation Extraction ACL 2023 Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection CVPR 2023 Consistent Text Categorization using Data Augmentation in e-Commerce ACL 2023 ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis ICCV 2023 Constrained Decision Transformer for Offline Safe Reinforcement Learning ICML 2023 Constrained Reinforcement Learning in Hard Exploration Problems AAAI 2023 Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction ACL 2023 Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars NeurIPS 2023 ConStruct-VL: Data-Free Continual Structured VL Concepts Learning CVPR 2023 Contactless Pulse Estimation Leveraging Pseudo Labels and Self-Supervision ICCV 2023 Content-based Unrestricted Adversarial Attack NeurIPS 2023 Context-Aware Alignment and Mutual Masking for 3D-Language Pre-Training CVPR 2023 Context-Aware Analysis of Group Submissions for Group Anomaly Detection and Performance Prediction AAAI 2023 Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding AAAI 2023 Context Consistency Regularization for Label Sparsity in Time Series ICML 2023 Context De-Confounded Emotion Recognition CVPR 2023 Context-faithful Prompting for Large Language Models EMNLP 2023 Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes NeurIPS 2023 Context or Knowledge is Not Always Necessary: A Contrastive Learning Framework for Emotion Recognition in Conversations ACL 2023 Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering EMNLP 2023