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
'5
'10
'15
'20
'25
Papers (including subtopics)
CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments
NeurIPS 2023
CLIPood: Generalizing CLIP to Out-of-Distributions
ICML 2023
CLIPPO: Image-and-Language Understanding From Pixels Only
CVPR 2023
CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels
AAAI 2023
CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation
CVPR 2023
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes From Natural Language
CVPR 2023
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos
ICLR 2023
CLIPText: A New Paradigm for Zero-shot Text Classification
ACL 2023
CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text
EMNLP 2023
CL-MVSNet: Unsupervised Multi-View Stereo with Dual-Level Contrastive Learning
ICCV 2023
CLNeRF: Continual Learning Meets NeRF
ICCV 2023
CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation
NeurIPS 2023
Closed-book Question Generation via Contrastive Learning
EACL 2023
Closed Boundary Learning for Classification Tasks with the Universum Class
EMNLP 2023
Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently
WACV 2023
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World
CVPR 2023
Clover: Towards a Unified Video-Language Alignment and Fusion Model
CVPR 2023
CLR: Channel-wise Lightweight Reprogramming for Continual Learning
ICCV 2023
CLRL-Tuning: A Novel Continual Learning Approach for Automatic Speech Recognition
Interspeech 2023
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning
CoRL 2023
ClusT3: Information Invariant Test-Time Training
ICCV 2023
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering
NeurIPS 2023
Clustered-patch Element Connection for Few-shot Learning
IJCAI 2023
Cluster-Guided Contrastive Graph Clustering Network
AAAI 2023
Cluster-Guided Label Generation in Extreme Multi-Label Classification
EACL 2023