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)
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
AAAI 2024
Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model
CVPR 2024
Jailbreaking LLMs with Arabic Transliteration and Arabizi
EMNLP 2024
JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients
CVPR 2024
JellyBell at TextGraphs-17 Shared Task: Fusing Large Language Models with External Knowledge for Enhanced Question Answering
ACL 2024
Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing
EMNLP 2024
Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retriever
EMNLP 2024
JoAPR: Cleaning the Lens of Prompt Learning for Vision-Language Models
CVPR 2024
Joint Composite Latent Space Bayesian Optimization
ICML 2024
Joint Demosaicing and Denoising for Spike Camera
AAAI 2024
Joint Inference of Retrieval and Generation for Passage Re-ranking
EACL 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
CVPR 2024
Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph Completion
EMNLP 2024
JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract)
AAAI 2024
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images
NeurIPS 2024
Jump Starting Bandits with LLM-Generated Prior Knowledge
EMNLP 2024
Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem
NeurIPS 2024
Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios
ACL 2024
Kaizen: Practical Self-Supervised Continual Learning With Continual Fine-Tuning
WACV 2024
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
NeurIPS 2024
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases
EMNLP 2024
KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free Matching
AAAI 2024
Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract)
AAAI 2024
Kernel Readout for Graph Neural Networks
IJCAI 2024
Keypoint Promptable Re-Identification
ECCV 2024