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)
A Single-Stage Multi-Style License Plate Recognition Method Based on Attention
ACML 2024
A SMART Mnemonic Sounds like “Glue Tonic”: Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick
EMNLP 2024
Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations
AAAI 2024
ASR TAMIL SSN@ LT-EDI-2024: Automatic Speech Recognition system for Elderly People
EACL 2024
Assessing “Implicit” Retrieval Robustness of Large Language Models
EMNLP 2024
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
WACV 2024
Assisting Breastfeeding and Maternity Experts in Responding to User Queries with an AI-in-the-loop Approach
EMNLP 2024
Association Pattern-aware Fusion for Biological Entity Relationship Prediction
NeurIPS 2024
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
ICLR 2024
A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition
CVPR 2024
A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune
EMNLP 2024
A Survey on Detection of LLMs-Generated Content
EMNLP 2024
A Survey on Natural Language Counterfactual Generation
EMNLP 2024
ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network
AAAI 2024
Asymmetric Masked Distillation for Pre-Training Small Foundation Models
CVPR 2024
Asymptotics of Learning with Deep Structured (Random) Features
ICML 2024
Asynchronous Perception Machine for Efficient Test Time Training
NeurIPS 2024
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction
AAAI 2024
ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models
EMNLP 2024
A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection
CVPR 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
NeurIPS 2024
Athena: Safe Autonomous Agents with Verbal Contrastive Learning
EMNLP 2024
A Theoretical Understanding of Self-Correction through In-context Alignment
NeurIPS 2024
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
EMNLP 2024
Atomic Self-Consistency for Better Long Form Generations
EMNLP 2024