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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)

An Empirical Study of Training End-to-End Vision-and-Language Transformers CVPR 2022 An Empirical Study on the Transferability of Transformer Modules in Parameter-efficient Fine-tuning EMNLP 2022 An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models ACL 2022 An Error Analysis of Generative Adversarial Networks for Learning Distributions JMLR 2022 A Nested Bi-level Optimization Framework for Robust Few Shot Learning AAAI 2022 A new dataset for multilingual keyphrase generation NeurIPS 2022 An Exploration of Linguistically-Driven and Transfer Learning Methods for Euphemism Detection EMNLP 2022 AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos NeurIPS 2022 An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models ACL 2022 An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning COLING 2022 An Interactive Explanatory AI System for Industrial Quality Control AAAI 2022 An Investigation into Whitening Loss for Self-supervised Learning NeurIPS 2022 An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation CVPR 2022 Annotation Cost-Sensitive Deep Active Learning with Limited Data (Student Abstract) AAAI 2022 Anomaly Detection via Reverse Distillation From One-Class Embedding CVPR 2022 An Optimal Transport Approach to Deep Metric Learning (Student Abstract) AAAI 2022 A Novel Differentiable Mixed-Precision Quantization Search Framework for Alleviating the Matthew Effect and Improving Robustness ACML 2022 A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily ACML 2022 Ant Multilingual Recognition System for OLR 2021 Challenge Interspeech 2022 An Unsupervised, Geometric and Syntax-aware Quantification of Polysemy EMNLP 2022 An Unsupervised Hunt for Gravitational Lenses AISTATS 2022 An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition ACL 2022 An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks AAAI 2022 A Parametric Class of Approximate Gradient Updates for Policy Optimization ICML 2022 APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets EMNLP 2022