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
'5
'10
'15
'20
'25
Papers (including subtopics)
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding
AAAI 2024
VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis
CVPR 2024
VoiceDefense: Protecting Automatic Speaker Verification Models Against Black-box Adversarial Attacks
Interspeech 2024
Voices in a Crowd: Searching for clusters of unique perspectives
EMNLP 2024
Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision
NAACL 2024
VOLTAGE: A Versatile Contrastive Learning based OCR Methodology for ultra low-resource scripts through Auto Glyph Feature Extraction
EACL 2024
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE
ICLR 2024
“Vorbești Românește?” A Recipe to Train Powerful Romanian LLMs with English Instructions
EMNLP 2024
V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark
NeurIPS 2024
VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis
EMNLP 2024
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models
AAAI 2024
VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook
AAAI 2024
VQ-FONT: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization
AAAI 2024
Vript: A Video Is Worth Thousands of Words
NeurIPS 2024
VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding
NeurIPS 2024
VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
CVPR 2024
VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection
CVPR 2024
W2P: Switching from Weak Supervision to Partial Supervision for Semantic Segmentation
AAAI 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
NeurIPS 2024
Wakening Past Concepts Without Past Data: Class-Incremental Learning From Online Placebos
WACV 2024
Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias
EMNLP 2024
Walking the Values in Bayesian Inverse Reinforcement Learning
UAI 2024
WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models
EMNLP 2024
WANDR: Intention-guided Human Motion Generation
CVPR 2024
Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement
EMNLP 2024