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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'20
'25
Papers (including subtopics)
VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models
NeurIPS 2024
VidToMe: Video Token Merging for Zero-Shot Video Editing
CVPR 2024
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
ICLR 2024
VIGC: Visual Instruction Generation and Correction
AAAI 2024
ViGLUE: A Vietnamese General Language Understanding Benchmark and Analysis of Vietnamese Language Models
NAACL 2024
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
CVPR 2024
ViLCo-Bench: VIdeo Language COntinual learning Benchmark
NeurIPS 2024
VillagerAgent: A Graph-Based Multi-Agent Framework for Coordinating Complex Task Dependencies in Minecraft
ACL 2024
ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
ICLR 2024
ViP: A Differentially Private Foundation Model for Computer Vision
ICML 2024
Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning
CVPR 2024
Virtual Personas for Language Models via an Anthology of Backstories
EMNLP 2024
Virtual Scanning: Unsupervised Non-line-of-sight Imaging from Irregularly Undersampled Transients
NeurIPS 2024
Vision-and-Language Navigation via Causal Learning
CVPR 2024
Vision Foundation Model Enables Generalizable Object Pose Estimation
NeurIPS 2024
Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation
IJCAI 2024
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification
EMNLP 2024
Vision-Language Models are Strong Noisy Label Detectors
NeurIPS 2024
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
AAAI 2024
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks
NeurIPS 2024
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning
NeurIPS 2024
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights
NeurIPS 2024
Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting
AAAI 2024
VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization
NAACL 2024
ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis
AAAI 2024