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)
VDebugger: Harnessing Execution Feedback for Debugging Visual Programs
EMNLP 2024
V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization
EMNLP 2024
Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment
ICML 2024
Vector Quantization Prompting for Continual Learning
NeurIPS 2024
VE-KD: Vocabulary-Expansion Knowledge-Distillation for Training Smaller Domain-Specific Language Models
EMNLP 2024
Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation
CoRL 2024
VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning
ACL 2024
VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch
AAAI 2024
Verified Safe Reinforcement Learning for Neural Network Dynamic Models
NeurIPS 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
VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation
EMNLP 2024
VHASR: A Multimodal Speech Recognition System With Vision Hotwords
EMNLP 2024
Video-Based Human Pose Regression via Decoupled Space-Time Aggregation
CVPR 2024
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
ACL 2024
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models
EMNLP 2024
VideoCon: Robust Video-Language Alignment via Contrast Captions
CVPR 2024
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
CVPR 2024
VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation
CVPR 2024
Video Diffusion Models are Training-free Motion Interpreter and Controller
NeurIPS 2024
Video Discourse Parsing and Its Application to Multimodal Summarization: A Dataset and Baseline Approaches
EMNLP 2024
Video Event Extraction with Multi-View Interaction Knowledge Distillation
AAAI 2024
Video Frame Prediction from a Single Image and Events
AAAI 2024
VideoGrounding-DINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding
CVPR 2024
VideoGUI: A Benchmark for GUI Automation from Instructional Videos
NeurIPS 2024