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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)

Revisiting Token Dropping Strategy in Efficient BERT Pretraining ACL 2023 Revisiting Unsupervised Local Descriptor Learning AAAI 2023 Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation CVPR 2023 Revisiting Weighted Aggregation in Federated Learning with Neural Networks ICML 2023 Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching ICLR 2023 Reward-Based Negotiating Agent Strategies AAAI 2023 Reward Gaming in Conditional Text Generation ACL 2023 Rewiring Neurons in Non-Stationary Environments NeurIPS 2023 RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction EMNLP 2023 RGAT at SemEval-2023 Task 2: Named Entity Recognition Using Graph Attention Network SemEval 2023 RGMIL: Guide Your Multiple-Instance Learning Model with Regressor NeurIPS 2023 RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding ACL 2023 RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts CVPR 2023 RISE: Leveraging Retrieval Techniques for Summarization Evaluation ACL 2023 RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs ACL 2023 RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation ICML 2023 RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning AAAI 2023 RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training EMNLP 2023 Robust Average-Reward Markov Decision Processes AAAI 2023 Robust Concept Erasure via Kernelized Rate-Distortion Maximization NeurIPS 2023 RobustEmbed: Robust Sentence Embeddings Using Self-Supervised Contrastive Pre-Training EMNLP 2023 Robust Feature Rectification of Pretrained Vision Models for Object Recognition AAAI 2023 Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs AAAI 2023 Robust Image Classification via Using Multiple Diversity Losses ACML 2023 Robust Keyword Spotting for Noisy Environments by Leveraging Speech Enhancement and Speech Presence Probability Interspeech 2023