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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Papers (including subtopics)
Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation
AAAI 2025
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models
EMNLP 2025
Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning
AAAI 2025
Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?
CVPR 2025
Training Data Soft Selection via Joint Density Ratio Estimation
ACML 2025
Training Deep Neural Networks with Virtual Smoothing Classes
AAAI 2025
Training-Free Class Purification for Open-Vocabulary Semantic Segmentation
ICCV 2025
Training-Free Dataset Pruning for Instance Segmentation
ICLR 2025
Training-free Generation of Temporally Consistent Rewards from VLMs
ICCV 2025
Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights
CVPR 2025
Training-free Open-Vocabulary Semantic Segmentation via Diverse Prototype Construction and Sub-region Matching
AAAI 2025
Training-Free Personalization via Retrieval and Reasoning on Fingerprints
ICCV 2025
Training-Free Text-Guided Image Editing with Visual Autoregressive Model
ICCV 2025
Training Language Models on Synthetic Edit Sequences Improves Code Synthesis
ICLR 2025
Training Language Models to Critique With Multi-agent Feedback
EMNLP 2025
Training Language Model to Critique for Better Refinement
ACL 2025
Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction
ICLR 2025
Training LayoutLM from Scratch for Efficient Named-Entity Recognition in the Insurance Domain
COLING 2025
Training LLMs for Optimization Modeling via Iterative Data Synthesis and Structured Validation
EMNLP 2025
Training LLMs to be Better Text Embedders through Bidirectional Reconstruction
EMNLP 2025
Training Matting Models Without Alpha Labels
AAAI 2025
Training Medical QA Models Based on Mixed Rewards from Multiple-Choice and Open-Ended Questions
EMNLP 2025
Training Neural Samplers with Reverse Diffusive KL Divergence
AISTATS 2025
Training Robust Ensembles Requires Rethinking Lipschitz Continuity
ICLR 2025
Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding
EMNLP 2025