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
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks
CVPR 2023
Raw Image Reconstruction With Learned Compact Metadata
CVPR 2023
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training
ACL 2023
RD-Suite: A Benchmark for Ranking Distillation
NeurIPS 2023
RDumb: A simple approach that questions our progress in continual test-time adaptation
NeurIPS 2023
Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization
CVPR 2023
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises
ACL 2023
ReadPrompt: A Readable Prompting Method for Reliable Knowledge Probing
EMNLP 2023
Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text
AAAI 2023
Real Time Detection of Soft Voice for Speech Enhancement
Interspeech 2023
Reasoning Implicit Sentiment with Chain-of-Thought Prompting
ACL 2023
Reasoning with Language Model Prompting: A Survey
ACL 2023
ReasonNet: End-to-End Driving With Temporal and Global Reasoning
CVPR 2023
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning
CVPR 2023
Rebalancing Gradient To Improve Self-Supervised Co-Training of Depth, Odometry and Optical Flow Predictions
WACV 2023
RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation
ACL 2023
Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation
CVPR 2023
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
NeurIPS 2023
Reconstruction Probing
ACL 2023
ReCo: Region-Controlled Text-to-Image Generation
CVPR 2023
Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning
NeurIPS 2023
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach
AAAI 2023
Recurrent Homography Estimation Using Homography-Guided Image Warping and Focus Transformer
CVPR 2023
Recursive Time Series Data Augmentation
ICLR 2023
Recursive Video Lane Detection
ICCV 2023