Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives
ACL 2024
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
EMNLP 2024
VideoMAC: Video Masked Autoencoders Meet ConvNets
CVPR 2024
Video ReCap: Recursive Captioning of Hour-Long Videos
CVPR 2024
Video Recognition in Portrait Mode
CVPR 2024
VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation
EMNLP 2024
Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding
EMNLP 2024
VidLA: Video-Language Alignment at Scale
CVPR 2024
VidToMe: Video Token Merging for Zero-Shot Video Editing
CVPR 2024
View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields
ECCV 2024
View From Above: Orthogonal-View aware Cross-view Localization
CVPR 2024
VIEWS: Entity-Aware News Video Captioning
EMNLP 2024
ViHateT5: Enhancing Hate Speech Detection in Vietnamese With a Unified Text-to-Text Transformer Model
ACL 2024
ViLCo-Bench: VIdeo Language COntinual learning Benchmark
NeurIPS 2024
ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization
AAAI 2024
VIMI: Grounding Video Generation through Multi-modal Instruction
EMNLP 2024
ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
CVPR 2024
Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning
CVPR 2024
Virtual Try-On: Real-Time Interactive Hybrid Network with High-Fidelity
AAAI 2024
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation
ACL 2024
VisDiaHalBench: A Visual Dialogue Benchmark For Diagnosing Hallucination in Large Vision-Language Models
ACL 2024
Visible-Infrared Person Re-Indentification via Feature Fusion and Deep Mutual Learning
ACML 2024
Vision-and-Language Navigation via Causal Learning
CVPR 2024
Vision-Language Dual-Pattern Matching for Out-of-Distribution Detection
ECCV 2024
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification
EMNLP 2024