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)
DALD: Improving Logits-based Detector without Logits from Black-box LLMs
NeurIPS 2024
DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning
AAAI 2024
DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance Assessment via Transformer Text Prompting
AAAI 2024
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models
EMNLP 2024
Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement
CVPR 2024
DAP: A Dynamic Adversarial Patch for Evading Person Detectors
CVPR 2024
DarkSAM: Fooling Segment Anything Model to Segment Nothing
NeurIPS 2024
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
NeurIPS 2024
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity
NeurIPS 2024
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges
ACL 2024
Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning
NeurIPS 2024
Data Contamination Can Cross Language Barriers
EMNLP 2024
Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition
AAAI 2024
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity
AISTATS 2024
Data-Efficient Graph Learning
AAAI 2024
Data-efficient Large Vision Models through Sequential Autoregression
ICML 2024
Data-Efficient Multimodal Fusion on a Single GPU
CVPR 2024
Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images
CVPR 2024
DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models
AAAI 2024
Data Free Backdoor Attacks
NeurIPS 2024
Data-Free Generalized Zero-Shot Learning
AAAI 2024
Data-Free Hard-Label Robustness Stealing Attack
AAAI 2024
Data-Free Quantization via Pseudo-label Filtering
CVPR 2024
Data Roaming and Quality Assessment for Composed Image Retrieval
AAAI 2024
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
NeurIPS 2024