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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)

A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention ICML 2021 A Unified Multi-Scenario Attacking Network for Visual Object Tracking AAAI 2021 A Unified View of cGANs with and without Classifiers NeurIPS 2021 A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models AAAI 2021 AuthNet: A Deep Learning Based Authentication Mechanism Using Temporal Facial Feature Movements (Student Abstract) AAAI 2021 Author Homepage Discovery in CiteSeerX AAAI 2021 AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation CVPR 2021 Auto-Exposure Fusion for Single-Image Shadow Removal CVPR 2021 AutoFlow: Learning a Better Training Set for Optical Flow CVPR 2021 AutoGEL: An Automated Graph Neural Network with Explicit Link Information NeurIPS 2021 AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks AAAI 2021 Automated Concatenation of Embeddings for Structured Prediction ACL 2021 Automated Discovery of Adaptive Attacks on Adversarial Defenses NeurIPS 2021 Automated Generation of Accurate & Fluent Medical X-ray Reports EMNLP 2021 Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans AAAI 2021 Automated Symbolic Law Discovery: A Computer Vision Approach AAAI 2021 Automatically Exposing Problems with Neural Dialog Models EMNLP 2021 Automatically Paraphrasing via Sentence Reconstruction and Round-trip Translation IJCAI 2021 Automatic Bilingual Markup Transfer EMNLP 2021 Automatic Correction of Internal Units in Generative Neural Networks CVPR 2021 Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning AAAI 2021 Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning EMNLP 2021 Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism ACL 2021 AutoRC: Improving BERT Based Relation Classification Models via Architecture Search ACL 2021 Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation ICLR 2021