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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)

Supervised Contrastive Few-Shot Learning for High-Frequency Time Series AAAI 2023 Supervised Contrastive Learning with Nearest Neighbor Search for Speech Emotion Recognition Interspeech 2023 Supervised Pretraining Can Learn In-Context Reinforcement Learning NeurIPS 2023 Support or Refute: Analyzing the Stance of Evidence to Detect Out-of-Context Mis- and Disinformation EMNLP 2023 SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems ICML 2023 Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning EMNLP 2023 SuryaKiran at PragTag 2023 - Benchmarking Domain Adaptation using Masked Language Modeling in Natural Language Processing For Specialized Data EMNLP 2023 SVFormer: Semi-Supervised Video Transformer for Action Recognition CVPR 2023 SVGformer: Representation Learning for Continuous Vector Graphics Using Transformers CVPR 2023 SViTT: Temporal Learning of Sparse Video-Text Transformers CVPR 2023 SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification AAAI 2023 SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval AISTATS 2023 Swap and Predict – Predicting the Semantic Changes in Words across Corpora by Context Swapping EMNLP 2023 SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages ACL 2023 Switchable Representation Learning Framework With Self-Compatibility CVPR 2023 Switching Temporary Teachers for Semi-Supervised Semantic Segmentation NeurIPS 2023 Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions AAAI 2023 Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task AAAI 2023 Symbolization, Prompt, and Classification: A Framework for Implicit Speaker Identification in Novels EMNLP 2023 Symbol tuning improves in-context learning in language models EMNLP 2023 SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions NeurIPS 2023 Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning ICML 2023 Syntactic Substitutability as Unsupervised Dependency Syntax EMNLP 2023 Synthesize, if you do not have: Effective Synthetic Dataset Creation Strategies for Self-Supervised Opinion Summarization in E-commerce EMNLP 2023 Synthesizing Photorealistic Virtual Humans Through Cross-Modal Disentanglement CVPR 2023