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)
Tight Rates for Bandit Control Beyond Quadratics
NeurIPS 2024
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
CVPR 2024
Time-Constrained Robust MDPs
NeurIPS 2024
Time-Efficient Reinforcement Learning with Stochastic Stateful Policies
ICLR 2024
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
NeurIPS 2024
Time is Encoded in the Weights of Finetuned Language Models
ACL 2024
Time- Memory- and Parameter-Efficient Visual Adaptation
CVPR 2024
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
ICLR 2024
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
NeurIPS 2024
Time-Reversal Provides Unsupervised Feedback to LLMs
NeurIPS 2024
Time Sensitive Knowledge Editing through Efficient Finetuning
ACL 2024
TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning
AAAI 2024
Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models
NeurIPS 2024
Time-Varying Propensity Score to Bridge the Gap between the Past and Present
ICLR 2024
TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training
AAAI 2024
TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging
EMNLP 2024
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings
EMNLP 2024
TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices
NeurIPS 2024
TLab at #SMM4H 2024: Retrieval-Augmented Generation for ADE Extraction and Normalization
ACL 2024
TL-CL: Task And Language Incremental Continual Learning
EMNLP 2024
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking
AAAI 2024
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
AAAI 2024
To Ask LLMs about English Grammaticality, Prompt Them in a Different Language
EMNLP 2024
To Distill or Not to Distill? On the Robustness of Robust Knowledge Distillation
ACL 2024
To Err Is Human, but Llamas Can Learn It Too
EMNLP 2024