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
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Papers (including subtopics)
Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution
EMNLP 2024
VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUp
EMNLP 2024
VeriScore: Evaluating the factuality of verifiable claims in long-form text generation
EMNLP 2024
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation
CVPR 2024
VertAttack: Taking Advantage of Text Classifiers’ Horizontal Vision
NAACL 2024
Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions
UAI 2024
VF-Detector: Making Multi-Granularity Code Changes on Vulnerability Fix Detector Robust to Mislabeled Changes
IJCAI 2024
VicTR: Video-conditioned Text Representations for Activity Recognition
CVPR 2024
Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers
RSS 2024
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
ICLR 2024
VIDA: The Visual Incel Data Archive. A Theory-oriented Annotated Dataset To Enhance Hate Detection Through Visual Culture
NAACL 2024
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models
EMNLP 2024
VideoCon: Robust Video-Language Alignment via Contrast Captions
CVPR 2024
Video-Context Aligned Transformer for Video Question Answering
AAAI 2024
VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Tool
ACL 2024
VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation
CVPR 2024
Video Decomposition Prior: Editing Videos Layer by Layer
ICLR 2024
VideoGrounding-DINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding
CVPR 2024
Video Interpolation with Diffusion Models
CVPR 2024
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives
ACL 2024
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization
ICML 2024
VideoMAC: Video Masked Autoencoders Meet ConvNets
CVPR 2024
VideoPrism: A Foundational Visual Encoder for Video Understanding
ICML 2024
Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding
EMNLP 2024
VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation
NeurIPS 2024