Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'15
'20
'25
Papers (including subtopics)
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
ICML 2024
DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting
CVPR 2024
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification
WACV 2024
DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut
NeurIPS 2024
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
NeurIPS 2024
Differentiable Information Bottleneck for Deterministic Multi-view Clustering
CVPR 2024
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation
UAI 2024
Differentiable Rendering with Reparameterized Volume Sampling
AISTATS 2024
Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
NeurIPS 2024
Differentially Private Deep Learning with Importance-based Adaptive Gradient Processing
ACML 2024
Differentially Private Equivalence Testing for Continuous Distributions and Applications
NeurIPS 2024
Differentially private methods for managing model uncertainty in linear regression
JMLR 2024
Differentially Private No-regret Exploration in Adversarial Markov Decision Processes
UAI 2024
Differentially Private Reinforcement Learning with Self-Play
NeurIPS 2024
Differentially Private Reward Estimation with Preference Feedback
AISTATS 2024
Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations
EACL 2024
DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification
NeurIPS 2024
Difficult for Whom? A Study of Japanese Lexical Complexity
EMNLP 2024
Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction
COLING 2024
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement
CVPR 2024
DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction
CVPR 2024
DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
NeurIPS 2024
DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion
NeurIPS 2024
DiffPhyCon: A Generative Approach to Control Complex Physical Systems
NeurIPS 2024
DiffPO: A causal diffusion model for learning distributions of potential outcomes
NeurIPS 2024