Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
Time-Constrained Robust MDPs
NeurIPS 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
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
ICML 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
Timer: Generative Pre-trained Transformers Are Large Time Series Models
ICML 2024
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
ICML 2024
TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning
AAAI 2024
Time-Varying Propensity Score to Bridge the Gap between the Past and Present
ICLR 2024
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
NeurIPS 2024
Timing as an Action: Learning When to Observe and Act
AISTATS 2024
TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training
AAAI 2024
tinyCLAP: Distilling Constrastive Language-Audio Pretrained Models
Interspeech 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
NeurIPS 2024
TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices
NeurIPS 2024
TISE: A Tripartite In-context Selection Method for Event Argument Extraction
NAACL 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
TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations
CoRL 2024
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
ICLR 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