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)
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach
CVPR 2024
Visual Prompting in LLMs for Enhancing Emotion Recognition
EMNLP 2024
VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation
AAAI 2024
ViTamin: Designing Scalable Vision Models in the Vision-Language Era
CVPR 2024
ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretraining
AAAI 2024
VIVA: A Benchmark for Vision-Grounded Decision-Making with Human Values
EMNLP 2024
VIXEN: Visual Text Comparison Network for Image Difference Captioning
AAAI 2024
VkD: Improving Knowledge Distillation using Orthogonal Projections
CVPR 2024
VLCounter: Text-Aware Visual Representation for Zero-Shot Object Counting
AAAI 2024
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment
EMNLP 2024
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance
NeurIPS 2024
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought
NeurIPS 2024
VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions
NeurIPS 2024
Vlogger: Make Your Dream A Vlog
CVPR 2024
VLP: Vision Language Planning for Autonomous Driving
CVPR 2024
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models
CVPR 2024
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
VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild
ACL 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
VRP-SAM: SAM with Visual Reference Prompt
CVPR 2024
VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection
CVPR 2024