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)

Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors IJCAI 2023 Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss IJCAI 2023 Boosting Few-Shot Text Classification via Distribution Estimation AAAI 2023 Boosting Graph Contrastive Learning via Graph Contrastive Saliency ICML 2023 Boosting Learning for LDPC Codes to Improve the Error-Floor Performance NeurIPS 2023 Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt CVPR 2023 Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier ICCV 2023 Boosting Positive Segments for Weakly-Supervised Audio-Visual Video Parsing ICCV 2023 Boosting Prompt-Based Self-Training With Mapping-Free Automatic Verbalizer for Multi-Class Classification EMNLP 2023 Boosting Punctuation Restoration with Data Generation and Reinforcement Learning Interspeech 2023 Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data CVPR 2023 Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations AAAI 2023 Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization CVPR 2023 Boosting Video Object Segmentation via Space-Time Correspondence Learning CVPR 2023 Boosting Weakly-Supervised Temporal Action Localization With Text Information CVPR 2023 Boosting with Tempered Exponential Measures NeurIPS 2023 Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data ACL 2023 Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval EMNLP 2023 Bootstrap in High Dimension with Low Computation ICML 2023 Bootstrapped Representations in Reinforcement Learning ICML 2023 Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences NeurIPS 2023 Bootstrapping Multi-View Representations for Fake News Detection AAAI 2023 Bootstrapping Neural Relation and Explanation Classifiers ACL 2023 Bootstrapping Objectness From Videos by Relaxed Common Fate and Visual Grouping CVPR 2023 Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels WACV 2023