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)
Synthesize Step-by-Step: Tools Templates and LLMs as Data Generators for Reasoning-Based Chart VQA
CVPR 2024
Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation
ACL 2024
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
EMNLP 2024
Synthetic Context with LLM for Entity Linking from Scientific Tables
ACL 2024
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
EMNLP 2024
Synthetic Multimodal Question Generation
EMNLP 2024
SynthProv: Interpretable Framework for Profiling Identity Leakage
WACV 2024
Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification
CVPR 2024
T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models
AAAI 2024
TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling
AAAI 2024
Tab2Text - A framework for deep learning with tabular data
EMNLP 2024
Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs
ACL 2024
TabR: Tabular Deep Learning Meets Nearest Neighbors
ICLR 2024
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases
NeurIPS 2024
Tactile-Augmented Radiance Fields
CVPR 2024
Tag-grounded Visual Instruction Tuning with Retrieval Augmentation
EMNLP 2024
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
NeurIPS 2024
Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment
EMNLP 2024
TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight
NeurIPS 2024
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
NeurIPS 2024
Taming Normalizing Flows
WACV 2024
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
EMNLP 2024
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
AAAI 2024
Target-Aware Language Modeling via Granular Data Sampling
EMNLP 2024
Targeted Activation Penalties Help CNNs Ignore Spurious Signals
AAAI 2024