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Learning Types

32,670 papers (1 classified directly here)

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

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation EMNLP 2022 Learning To Generate the Unknowns as a Remedy to the Open-Set Domain Shift WACV 2022 Learning To Imagine: Diversify Memory for Incremental Learning Using Unlabeled Data CVPR 2022 Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning ACL 2022 Learning Token-Based Representation for Image Retrieval AAAI 2022 Learning To Learn Across Diverse Data Biases in Deep Face Recognition CVPR 2022 Learning To Learn by Jointly Optimizing Neural Architecture and Weights CVPR 2022 Learning To Listen: Modeling Non-Deterministic Dyadic Facial Motion CVPR 2022 Learning To Memorize Feature Hallucination for One-Shot Image Generation CVPR 2022 Learning to Model Multimodal Semantic Alignment for Story Visualization EMNLP 2022 Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models EMNLP 2022 Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints AAAI 2022 Learning To Prompt for Continual Learning CVPR 2022 Learning To Prompt for Open-Vocabulary Object Detection With Vision-Language Model CVPR 2022 Learning to Rank Visual Stories From Human Ranking Data ACL 2022 Learning To Refactor Action and Co-Occurrence Features for Temporal Action Localization CVPR 2022 Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification NeurIPS 2022 Learning to Scaffold: Optimizing Model Explanations for Teaching NeurIPS 2022 Learning to Separate Voices by Spatial Regions ICML 2022 Learning to Transfer Prompts for Text Generation NAACL 2022 Learning to Transfer with von Neumann Conditional Divergence AAAI 2022 Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training NAACL 2022 Learning Transferable Reward for Query Object Localization with Policy Adaptation ICLR 2022 Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation IJCAI 2022 Learning Universal Adversarial Perturbation by Adversarial Example AAAI 2022