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)
The Many Faces of Optimal Weak-to-Strong Learning
NeurIPS 2024
The MERSA Dataset and a Transformer-Based Approach for Speech Emotion Recognition
ACL 2024
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data
NeurIPS 2024
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis
EMNLP 2024
The Overlooked Repetitive Lengthening Form in Sentiment Analysis
EMNLP 2024
The Power of Summary-Source Alignments
ACL 2024
The Prevalence of Neural Collapse in Neural Multivariate Regression
NeurIPS 2024
The Price of Implicit Bias in Adversarially Robust Generalization
NeurIPS 2024
The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data
UAI 2024
The reasonable effectiveness of speaker embeddings for violence detection
Interspeech 2024
The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models
NeurIPS 2024
The Shape of Word Embeddings: Quantifying Non-Isometry with Topological Data Analysis
EMNLP 2024
The STVchrono Dataset: Towards Continuous Change Recognition in Time
CVPR 2024
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning
NeurIPS 2024
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
NeurIPS 2024
The Value of Reward Lookahead in Reinforcement Learning
NeurIPS 2024
THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract)
AAAI 2024
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models
NeurIPS 2024
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting
EMNLP 2024
Thin-Shell Object Manipulations With Differentiable Physics Simulations
ICLR 2024
Thoughts to Target: Enhance Planning for Target-driven Conversation
EMNLP 2024
Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning
AAAI 2024
Three Pillars Improving Vision Foundation Model Distillation for Lidar
CVPR 2024
TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models
CVPR 2024
TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach
CoRL 2024