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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)

Neural Template: Topology-Aware Reconstruction and Disentangled Generation of 3D Meshes CVPR 2022 Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs NeurIPS 2022 Neural Texture Extraction and Distribution for Controllable Person Image Synthesis CVPR 2022 New Intent Discovery with Pre-training and Contrastive Learning ACL 2022 NEWTS: A Corpus for News Topic-Focused Summarization ACL 2022 NICT at MixMT 2022: Synthetic Code-Mixed Pre-training and Multi-way Fine-tuning for Hinglish–English Translation EMNLP 2022 NightLab: A Dual-Level Architecture With Hardness Detection for Segmentation at Night CVPR 2022 Nighttime Semantic Segmentation with Unsupervised Learning and Cross Attention ACML 2022 NJUNLP’s Participation for the WMT2022 Quality Estimation Shared Task EMNLP 2022 NLP DI at NADI Shared Task Subtask-1: Sub-word Level Convolutional Neural Models and Pre-trained Binary Classifiers for Dialect Identification EMNLP 2022 NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework ICML 2022 NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures EMNLP 2022 NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification NeurIPS 2022 No Domain Left behind EMNLP 2022 Noise2NoiseFlow: Realistic Camera Noise Modeling Without Clean Images CVPR 2022 NoiseGrad — Enhancing Explanations by Introducing Stochasticity to Model Weights AAAI 2022 Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning CVPR 2022 Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels AAAI 2022 NoisyAnnot@ Causal News Corpus 2022: Causality Detection using Multiple Annotation Decisions EMNLP 2022 Noisy Channel Language Model Prompting for Few-Shot Text Classification ACL 2022 NOMAD: Nonlinear Manifold Decoders for Operator Learning NeurIPS 2022 Non-autoregressive Error Correction for CTC-based ASR with Phone-conditioned Masked LM Interspeech 2022 Non-Autoregressive Models for Fast Sequence Generation EMNLP 2022 Non-Autoregressive Neural Machine Translation: A Call for Clarity EMNLP 2022 Non-Autoregressive Sequence Generation ACL 2022