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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'25
Papers (including subtopics)
Visual Adversarial Examples Jailbreak Aligned Large Language Models
AAAI 2024
Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning
CVPR 2024
Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models
CVPR 2024
Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion
NeurIPS 2024
Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval
CVPR 2024
Visual Fourier Prompt Tuning
NeurIPS 2024
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes
NAACL 2024
Visual Hallucination Elevates Speech Recognition
AAAI 2024
Visual In-Context Prompting
CVPR 2024
Visually-Aware Context Modeling for News Image Captioning
NAACL 2024
Visually Guided Audio Source Separation With Meta Consistency Learning
WACV 2024
Visual Pivoting Unsupervised Multimodal Machine Translation in Low-Resource Distant Language Pairs
EMNLP 2024
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach
CVPR 2024
Visual Prompting in LLMs for Enhancing Emotion Recognition
EMNLP 2024
Visual Prompt Tuning in Null Space for Continual Learning
NeurIPS 2024
Visual Question Decomposition on Multimodal Large Language Models
EMNLP 2024
Visual Representation Learning with Stochastic Frame Prediction
ICML 2024
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models
ICML 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
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
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