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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)

Bootstrapped Unsupervised Sentence Representation Learning ACL 2021 BooVAE: Boosting Approach for Continual Learning of VAE NeurIPS 2021 Bottom-Up Human Pose Estimation via Disentangled Keypoint Regression CVPR 2021 Boundary Knowledge Translation based Reference Semantic Segmentation IJCAI 2021 Boundary-Sensitive Pre-Training for Temporal Localization in Videos ICCV 2021 Box Embeddings: An open-source library for representation learning using geometric structures EMNLP 2021 BPM_MT: Enhanced Backchannel Prediction Model using Multi-Task Learning EMNLP 2021 Bridge-Based Active Domain Adaptation for Aspect Term Extraction ACL 2021 Bridge To Answer: Structure-Aware Graph Interaction Network for Video Question Answering CVPR 2021 Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling EMNLP 2021 Bridging Code-Text Representation Gap using Explanation ACML 2021 Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation AAAI 2021 Bridging the Imitation Gap by Adaptive Insubordination NeurIPS 2021 Bridging Towers of Multi-task Learning with a Gating Mechanism for Aspect-based Sentiment Analysis and Sequential Metaphor Identification AAAI 2021 Broadcasted Residual Learning for Efficient Keyword Spotting Interspeech 2021 BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text ACL 2021 Building Adaptive Acceptability Classifiers for Neural NLG EMNLP 2021 Building Interpretable Interaction Trees for Deep NLP Models AAAI 2021 Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation CVPR 2021 BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NeurIPS 2021 C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling AAAI 2021 calibrated adversarial training ACML 2021 Calibrated RGB-D Salient Object Detection CVPR 2021 Camera-Aware Proxies for Unsupervised Person Re-Identification AAAI 2021 Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias CVPR 2021