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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'20
'25
Papers (including subtopics)
Class-Level Confidence Based 3D Semi-Supervised Learning
WACV 2023
Class Lifelong Learning for Intent Detection via Structure Consolidation Networks
ACL 2023
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery
ICCV 2023
Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos
CVPR 2023
Class-relation Knowledge Distillation for Novel Class Discovery
ICCV 2023
Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation
CVPR 2023
CLCL: Non-compositional Expression Detection with Contrastive Learning and Curriculum Learning
ACL 2023
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning
ICCV 2023
Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only
ICLR 2023
CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence
NeurIPS 2023
CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization
IJCAI 2023
CLEVR-Implicit: A Diagnostic Dataset for Implicit Reasoning in Referring Expression Comprehension
EMNLP 2023
CLICK: Contrastive Learning for Injecting Contextual Knowledge to Conversational Recommender System
EACL 2023
Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning
ACL 2023
ClimaX: A foundation model for weather and climate
ICML 2023
Clinical Contradiction Detection
EMNLP 2023
CLIP2: Contrastive Language-Image-Point Pretraining From Real-World Point Cloud Data
CVPR 2023
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-Training
ICCV 2023
CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search
CVPR 2023
CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP
CVPR 2023
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
RSS 2023
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not
CVPR 2023
CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation
CVPR 2023
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision
AISTATS 2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
ICCV 2023