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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)

A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation ACL 2022 AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysis EMNLP 2022 AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification AAAI 2022 Backdoor Attacks on Self-Supervised Learning CVPR 2022 Backdoor Attacks on the DNN Interpretation System AAAI 2022 Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation NeurIPS 2022 Back to Reality: Weakly-Supervised 3D Object Detection With Shape-Guided Label Enhancement CVPR 2022 Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning EMNLP 2022 BACON: Band-Limited Coordinate Networks for Multiscale Scene Representation CVPR 2022 Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks AAAI 2022 Bailando: 3D Dance Generation by Actor-Critic GPT With Choreographic Memory CVPR 2022 Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models EMNLP 2022 Balanced Contrastive Learning for Long-Tailed Visual Recognition CVPR 2022 Balanced MSE for Imbalanced Visual Regression CVPR 2022 Balanced Multimodal Learning via On-the-Fly Gradient Modulation CVPR 2022 Balancing Discriminability and Transferability for Source-Free Domain Adaptation ICML 2022 Barely-Supervised Learning: Semi-supervised Learning with Very Few Labeled Images AAAI 2022 BARLE: Background-Aware Representation Learning for Background Shift Out-of-Distribution Detection EMNLP 2022 Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning AAAI 2022 BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning CVPR 2022 Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks NAACL 2022 BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning ACML 2022 Bayesian Invariant Risk Minimization CVPR 2022 Bayesian Model-Based Offline Reinforcement Learning for Product Allocation AAAI 2022 Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection CVPR 2022