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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)

Nonlinear Acoustic Echo Cancellation with Deep Learning Interspeech 2021 Nonlinear Data-Enabled Prediction and Control L4DC 2021 Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation EMNLP 2021 Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation CVPR 2021 NORESQA: A Framework for Speech Quality Assessment using Non-Matching References NeurIPS 2021 No RL, No Simulation: Learning to Navigate without Navigating NeurIPS 2021 Normalization Driven Zero-Shot Multi-Speaker Speech Synthesis Interspeech 2021 No Shadow Left Behind: Removing Objects and Their Shadows Using Approximate Lighting and Geometry CVPR 2021 Not All Memories are Created Equal: Learning to Forget by Expiring ICML 2021 Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids’ Representations EMNLP 2021 Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification EMNLP 2021 Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction CVPR 2021 Not So Fast, Classifier – Accuracy and Entropy Reduction in Incremental Intent Classification EMNLP 2021 Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations EMNLP 2021 Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation NeurIPS 2021 NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021 EMNLP 2021 Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss MIDL 2021 NVIDIA NeMo’s Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21 EMNLP 2021 Objects Are Different: Flexible Monocular 3D Object Detection CVPR 2021 OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning CVPR 2021 Obtaining Better Static Word Embeddings Using Contextual Embedding Models ACL 2021 Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers ICLR 2021 Offline Reinforcement Learning with Pseudometric Learning ICML 2021 On Characterizing GAN Convergence Through Proximal Duality Gap ICML 2021 On Data-Augmentation and Consistency-Based Semi-Supervised Learning ICLR 2021