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)
JU-CSE-NLP’25 at SemEval-2025 Task 4: Learning to Unlearn LLMs
SemEval 2025
JU-CSE-NLP’s Cascaded Speech to Text Translation Systems for IWSLT 2025 in Indic Track
ACL 2025
Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
ACL 2025
Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models
EMNLP 2025
JU-NLP: Improving Low-Resource Indic Translation System with Efficient LoRA-Based Adaptation
EMNLP 2025
Just a Scratch: Enhancing LLM Capabilities for Self-harm Detection through Intent Differentiation and Emoji Interpretation
ACL 2025
Just Dance with pi! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection
CVPR 2025
Just Go Parallel: Improving the Multilingual Capabilities of Large Language Models
ACL 2025
Just KIDDIN’ : Knowledge Infusion and Distillation for Detection of INdecent Memes
ACL 2025
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models
WACV 2025
Kairos: Redefining Event and Time Prediction with Language Modeling
ACML 2025
KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing
AAAI 2025
KBAlign: Efficient Self Adaptation on Specific Textual Knowledge Bases
EMNLP 2025
KCS: Diversify Multi-hop Question Generation with Knowledge Composition Sampling
EMNLP 2025
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean
ACL 2025
KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models
AAAI 2025
Keep the Balance: A Parameter-Efficient Symmetrical Framework for RGB+X Semantic Segmentation
CVPR 2025
Keep Your Friends Close, and Your Enemies Farther: Distance-aware Voxel-wise Contrastive Learning for Semi-supervised Multi-organ Segmentation
ICCV 2025
Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning
AAAI 2025
Keys to Robust Edits: From Theoretical Insights to Practical Advances
ACL 2025
KGCL: Knowledge-Enhanced Graph Contrastive Learning for Retrosynthesis Prediction Based on Molecular Graph Editing
IJCAI 2025
Kinship in Speech: Leveraging Linguistic Relatedness for Zero-Shot TTS in Indian Languages
Interspeech 2025
Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset Generation
CVPR 2025
KIT’s Low-resource Speech Translation Systems for IWSLT2025: System Enhancement with Synthetic Data and Model Regularization
ACL 2025
Know2Vec: A Black-Box Proxy for Neural Network Retrieval
AAAI 2025