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)
Understanding Higher-Order Correlations Among Semantic Components in Embeddings
EMNLP 2024
Understanding Hyperbolic Metric Learning Through Hard Negative Sampling
WACV 2024
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection
AAAI 2024
Understanding Pathologies of Deep Heteroskedastic Regression
UAI 2024
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective
NeurIPS 2024
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
ICML 2024
Understanding the Role of the Projector in Knowledge Distillation
AAAI 2024
Understanding Visual Feature Reliance through the Lens of Complexity
NeurIPS 2024
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates
ICLR 2024
Unelicitable Backdoors via Cryptographic Transformer Circuits
NeurIPS 2024
Ungeneralizable Examples
CVPR 2024
UniADS: Universal Architecture-Distiller Search for Distillation Gap
AAAI 2024
UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner
NeurIPS 2024
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
NeurIPS 2024
UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages
ACL 2024
UniCell: Universal Cell Nucleus Classification via Prompt Learning
AAAI 2024
UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks
EMNLP 2024
UniDepth: Universal Monocular Metric Depth Estimation
CVPR 2024
Uni-Dubbing: Zero-Shot Speech Synthesis from Visual Articulation
ACL 2024
Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection
NeurIPS 2024
Unified Entropy Optimization for Open-Set Test-Time Adaptation
CVPR 2024
Unified Generative and Discriminative Training for Multi-modal Large Language Models
NeurIPS 2024
Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling
NeurIPS 2024
Unified Language-driven Zero-shot Domain Adaptation
CVPR 2024
Unified Lexical Representation for Interpretable Visual-Language Alignment
NeurIPS 2024