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)
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 Mamba Mender
NeurIPS 2024
Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting
AAAI 2024
VISTA-LLAMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens
CVPR 2024
VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval
ACL 2024
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
NeurIPS 2024
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
NeurIPS 2024
Visual Data-Type Understanding does not emerge from scaling Vision-Language Models
ICLR 2024
Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion
NeurIPS 2024
Visual Editing with LLM-based Tool Chaining: An Efficient Distillation Approach for Real-Time Applications
EMNLP 2024
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation
CVPR 2024
Visual Fourier Prompt Tuning
NeurIPS 2024
Visual Hallucination Elevates Speech Recognition
AAAI 2024
Visual Hallucinations of Multi-modal Large Language Models
ACL 2024
Visual In-Context Prompting
CVPR 2024
Visualization Recommendation with Prompt-based Reprogramming of Large Language Models
ACL 2024
Visualizing Dialogues: Enhancing Image Selection through Dialogue Understanding with Large Language Models
ACL 2024
Visually Guided Audio Source Separation With Meta Consistency Learning
WACV 2024
Visual Objectification in Films: Towards a New AI Task for Video Interpretation
CVPR 2024
Visual Perception by Large Language Model’s Weights
NeurIPS 2024
Visual Pivoting Unsupervised Multimodal Machine Translation in Low-Resource Distant Language Pairs
EMNLP 2024
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models
CVPR 2024
Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding
CVPR 2024