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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)

SALD: Sign Agnostic Learning with Derivatives ICLR 2021 Saliency-Associated Object Tracking ICCV 2021 Saliency-based Multi-View Mixed Language Training for Zero-shot Cross-lingual Classification EMNLP 2021 Sample efficient learning of image-based diagnostic classifiers via probabilistic labels AISTATS 2021 Sample Selection for Universal Domain Adaptation AAAI 2021 Samsung R&D Institute Poland submission to WAT 2021 Indic Language Multilingual Task ACL 2021 SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restoration AAAI 2021 SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles ACL 2021 Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? CVPR 2021 Scalable Approach for Normalizing E-commerce Text Attributes (SANTA) ACL 2021 Scalable Differential Privacy With Sparse Network Finetuning CVPR 2021 Scalable Diverse Model Selection for Accessible Transfer Learning NeurIPS 2021 Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot ICML 2021 Scalable Online Planning via Reinforcement Learning Fine-Tuning NeurIPS 2021 Scaled-YOLOv4: Scaling Cross Stage Partial Network CVPR 2021 Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup ACL 2021 Scaling Digital Screen Reading With One-Shot Learning and Re-Identification WACV 2021 Scaling Effect of Self-Supervised Speech Models Interspeech 2021 Scaling Local Self-Attention for Parameter Efficient Visual Backbones CVPR 2021 Scaling-Up Disentanglement for Image Translation ICCV 2021 SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks CVPR 2021 Scheduled Sampling Based on Decoding Steps for Neural Machine Translation EMNLP 2021 Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network AAAI 2021 SciCap: Generating Captions for Scientific Figures EMNLP 2021 SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation EMNLP 2021