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)

Machine Translation into Low-resource Language Varieties ACL 2021 Machine Translation of Low-Resource Indo-European Languages EMNLP 2021 Machine Unlearning for Random Forests ICML 2021 Machine Unlearning via Algorithmic Stability COLT 2021 MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes CVPR 2021 MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training SemEval 2021 Majorizing Measures, Sequential Complexities, and Online Learning COLT 2021 Making a (Counterfactual) Difference One Rationale at a Time NeurIPS 2021 Making Paper Reviewing Robust to Bid Manipulation Attacks ICML 2021 Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching AAAI 2021 MANGO: A Mask Attention Guided One-Stage Scene Text Spotter AAAI 2021 Manipulating SGD with Data Ordering Attacks NeurIPS 2021 Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification AAAI 2021 Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning EMNLP 2021 Mapping probability word problems to executable representations EMNLP 2021 Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data ICML 2021 M-Arg: Multimodal Argument Mining Dataset for Political Debates with Audio and Transcripts EMNLP 2021 MarioNette: Self-Supervised Sprite Learning NeurIPS 2021 Markpainting: Adversarial Machine Learning meets Inpainting ICML 2021 Mask-Align: Self-Supervised Neural Word Alignment ACL 2021 Masked Contrastive Learning for Anomaly Detection IJCAI 2021 maskedFaceNet: A Progressive Semi-Supervised Masked Face Detector WACV 2021 Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification IJCAI 2021 Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis CVPR 2021 Mask Selection and Propagation for Unsupervised Video Object Segmentation WACV 2021