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)
GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding
ICCV 2023
GeoMVSNet: Learning Multi-View Stereo With Geometry Perception
CVPR 2023
GeoNet: Benchmarking Unsupervised Adaptation Across Geographies
CVPR 2023
GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising
NeurIPS 2023
GeoVLN: Learning Geometry-Enhanced Visual Representation With Slot Attention for Vision-and-Language Navigation
CVPR 2023
GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding
ACL 2023
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task
CVPR 2023
GLCC: A General Framework for Graph-Level Clustering
AAAI 2023
GLIGEN: Open-Set Grounded Text-to-Image Generation
CVPR 2023
Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition
ACL 2023
Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions
CVPR 2023
GlobalFlowNet: Video Stabilization Using Deep Distilled Global Motion Estimates
WACV 2023
Global-Local Characteristic Excited Cross-Modal Attacks from Images to Videos
AAAI 2023
Global-Local Regularization Via Distributional Robustness
AISTATS 2023
Global Mixup: Eliminating Ambiguity with Clustering
AAAI 2023
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data
NeurIPS 2023
GlotLID: Language Identification for Low-Resource Languages
EMNLP 2023
GLUECons: A Generic Benchmark for Learning under Constraints
AAAI 2023
GlyphControl: Glyph Conditional Control for Visual Text Generation
NeurIPS 2023
GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields From Multi-View Images
CVPR 2023
GMU Systems for the IWSLT 2023 Dialect and Low-resource Speech Translation Tasks
ACL 2023
GNeSF: Generalizable Neural Semantic Fields
NeurIPS 2023
Goal-Conditioned Generators of Deep Policies
AAAI 2023
Goal-Conditioned Predictive Coding for Offline Reinforcement Learning
NeurIPS 2023
Goal-Conditioned Q-learning as Knowledge Distillation
AAAI 2023