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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)
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Papers (including subtopics)

Dependent Multi-Task Learning with Causal Intervention for Image Captioning IJCAI 2021 DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation ICCV 2021 DER: Dynamically Expandable Representation for Class Incremental Learning CVPR 2021 De-Rendering the World's Revolutionary Artefacts CVPR 2021 Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection ACL 2021 Description-based Label Attention Classifier for Explainable ICD-9 Classification EMNLP 2021 Design of Experiments for Stochastic Contextual Linear Bandits NeurIPS 2021 Detail Me More: Improving GAN's Photo-Realism of Complex Scenes ICCV 2021 DetCo: Unsupervised Contrastive Learning for Object Detection ICCV 2021 Detect and Classify – Joint Span Detection and Classification for Health Outcomes EMNLP 2021 Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain AAAI 2021 Detecting Anomalous Event Sequences with Temporal Point Processes NeurIPS 2021 Detecting Atrial Fibrillation in ICU Telemetry data with Weak Labels MLHC 2021 Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing EMNLP 2021 Detecting Contact-Induced Semantic Shifts: What Can Embedding-Based Methods Do in Practice? EMNLP 2021 Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media EMNLP 2021 Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles NeurIPS 2021 Detecting Hashtag Hijacking for Hashtag Activism ACL 2021 Detecting Human-Object Interaction via Fabricated Compositional Learning CVPR 2021 Detecting Human-Object Interaction With Mixed Supervision WACV 2021 Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess NeurIPS 2021 Detecting Moments and Highlights in Videos via Natural Language Queries NeurIPS 2021 Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings EMNLP 2021 Detecting Post-Edited References and Their Effect on Human Evaluation EACL 2021 Detecting Propaganda Techniques in Memes ACL 2021