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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
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'15
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'25

Papers (including subtopics)

Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents AAAI 2022 EyePAD++: A Distillation-Based Approach for Joint Eye Authentication and Presentation Attack Detection Using Periocular Images CVPR 2022 Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations EMNLP 2022 Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching NeurIPS 2022 Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents EMNLP 2022 FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization NAACL 2022 Factual Accuracy is not Enough: Planning Consistent Description Order for Radiology Report Generation EMNLP 2022 FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning EMNLP 2022 Fair Contrastive Learning for Facial Attribute Classification CVPR 2022 Fairness without Demographics through Knowledge Distillation NeurIPS 2022 Fair NLP Models with Differentially Private Text Encoders EMNLP 2022 Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization ACL 2022 FASSST: Fast Attention Based Single-Stage Segmentation Net for Real-Time Instance Segmentation WACV 2022 Fast and Constrained Absent Keyphrase Generation by Prompt-Based Learning AAAI 2022 Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation AAAI 2022 Fast and Unsupervised Action Boundary Detection for Action Segmentation CVPR 2022 Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method AAAI 2022 FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification EMNLP 2022 Fast-CLOCs: Fast Camera-LiDAR Object Candidates Fusion for 3D Object Detection WACV 2022 Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation EMNLP 2022 Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge Distillation Interspeech 2022 Fast Vocabulary Transfer for Language Model Compression EMNLP 2022 FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack AAAI 2022 FCGCL: Fine- and Coarse-Granularity Contrastive Learning for Speech Translation EMNLP 2022 Feature Erasing and Diffusion Network for Occluded Person Re-Identification CVPR 2022