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 Training Data Recipe to Accelerate A* Search with Language Models
EMNLP 2024
Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation
AAAI 2024
Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract)
AAAI 2024
Attacking Transformers with Feature Diversity Adversarial Perturbation
AAAI 2024
Attacks against Abstractive Text Summarization Models through Lead Bias and Influence Functions
EMNLP 2024
Attacks on Continual Semantic Segmentation by Perturbing Incremental Samples
AAAI 2024
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification
AAAI 2024
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification
AAAI 2024
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study
WACV 2024
AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation
NeurIPS 2024
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification
EMNLP 2024
A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks
AAAI 2024
A Two-Agent Game for Zero-shot Relation Triplet Extraction
ACL 2024
A Two-Step Approach for Data-Efficient French Pronunciation Learning
EMNLP 2024
Audio-Based Linguistic Feature Extraction for Enhancing Multi-lingual and Low-Resource Text-to-Speech
EMNLP 2024
Audio Generation with Multiple Conditional Diffusion Model
AAAI 2024
Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations
Interspeech 2024
AudioMarkBench: Benchmarking Robustness of Audio Watermarking
NeurIPS 2024
Audio-Visual Segmentation via Unlabeled Frame Exploitation
CVPR 2024
AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement
CVPR 2024
A Unified Framework for 3D Scene Understanding
NeurIPS 2024
A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learning
CVPR 2024
A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities
AAAI 2024
AuriSRec: Adversarial User Intention Learning in Sequential Recommendation
EMNLP 2024
AustroTox: A Dataset for Target-Based Austrian German Offensive Language Detection
ACL 2024