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)
Deep Neural Room Acoustics Primitive
ICML 2024
DeepPavlov 1.0: Your Gateway to Advanced NLP Models Backed by Transformers and Transfer Learning
EMNLP 2024
Deep Regression Representation Learning with Topology
ICML 2024
Deep Reinforcement Learning for Communication Networks
AAAI 2024
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing
AAAI 2024
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
NeurIPS 2024
Deep Unfolded Network with Intrinsic Supervision for Pan-Sharpening
AAAI 2024
Deep Video Inverse Tone Mapping Based on Temporal Clues
CVPR 2024
Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species
WACV 2024
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
NeurIPS 2024
Defending Jailbreak Prompts via In-Context Adversarial Game
EMNLP 2024
Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing
EMNLP 2024
Defending Object Detection Models Against Image Distortions
WACV 2024
Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
CVPR 2024
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
CVPR 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
NeurIPS 2024
Defog Artificial Intelligence Glasses: Neural Networks for the Imperfect Real World
AAAI 2024
DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching
NeurIPS 2024
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised h-transform
NeurIPS 2024
DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
CVPR 2024
Déjà Vu Memorization in Vision–Language Models
NeurIPS 2024
Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection
EMNLP 2024
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking
CVPR 2024
DeMatch: Deep Decomposition of Motion Field for Two-View Correspondence Learning
CVPR 2024
DEM: Distribution Edited Model for Training with Mixed Data Distributions
EMNLP 2024