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)
DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection
AAAI 2024
DR10K: Transfer Learning Using Weak Labels for Grading Diabetic Retinopathy on DR10K Dataset
WACV 2024
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning
CVPR 2024
DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM
NeurIPS 2024
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
CVPR 2024
DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models
ACL 2024
DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers
EMNLP 2024
DRAVIDIAN LANGUAGE@ LT-EDI 2024:Pretrained Transformer based Automatic Speech Recognition system for Elderly People
EACL 2024
DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models
CVPR 2024
DreamCatcher: A Wearer-aware Multi-modal Sleep Event Dataset Based on Earables in Non-restrictive Environments
NeurIPS 2024
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
NeurIPS 2024
DreamComposer: Controllable 3D Object Generation via Multi-View Conditions
CVPR 2024
DreamIdentity: Enhanced Editability for Efficient Face-Identity Preserved Image Generation
AAAI 2024
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
ICLR 2024
DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback
CVPR 2024
DRF: Improving Certified Robustness via Distributional Robustness Framework
AAAI 2024
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
NeurIPS 2024
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
CVPR 2024
Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond
NeurIPS 2024
DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection
ICML 2024
DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codes
CVPR 2024
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
NeurIPS 2024
DTL: Disentangled Transfer Learning for Visual Recognition
AAAI 2024
Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning
CVPR 2024
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning
NeurIPS 2024