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)
Revisiting motion information for RGB-Event tracking with MOT philosophy
NeurIPS 2024
Revisiting Multimodal Transformers for Tabular Data with Text Fields
ACL 2024
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis
CVPR 2024
Revisiting Open-Set Panoptic Segmentation
AAAI 2024
Revisiting Single Image Reflection Removal In the Wild
CVPR 2024
Revisiting Spatial-Frequency Information Integration from a Hierarchical Perspective for Panchromatic and Multi-Spectral Image Fusion
CVPR 2024
Revisiting Supervised Contrastive Learning for Microblog Classification
EMNLP 2024
Revisit the Essence of Distilling Knowledge through Calibration
ICML 2024
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation
NeurIPS 2024
Reward Certification for Policy Smoothed Reinforcement Learning
AAAI 2024
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
ICLR 2024
Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue
EMNLP 2024
Reward Modeling Requires Automatic Adjustment Based on Data Quality
EMNLP 2024
Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint)
AAAI 2024
RGB-X Object Detection via Scene-Specific Fusion Modules
WACV 2024
Rich Human Feedback for Text-to-Image Generation
CVPR 2024
Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
ICML 2024
RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models
ACL 2024
RIGA at SMM4H-2024 Task 1: Enhancing ADE discovery with GPT-4
ACL 2024
RL-GPT: Integrating Reinforcement Learning and Code-as-policy
NeurIPS 2024
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback
CVPR 2024
RLIF: Interactive Imitation Learning as Reinforcement Learning
ICLR 2024
RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing
AAAI 2024
RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
JMLR 2024
RMem: Restricted Memory Banks Improve Video Object Segmentation
CVPR 2024