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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'20
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Papers (including subtopics)
Towards Practical Non-Adversarial Distribution Matching
AISTATS 2024
Towards Principled Representation Learning from Videos for Reinforcement Learning
ICLR 2024
Towards Privacy-Aware Sign Language Translation at Scale
ACL 2024
Towards Realistic Model Selection for Semi-supervised Learning
ICML 2024
Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network
CVPR 2024
Towards Real-world Scenario: Imbalanced New Intent Discovery
ACL 2024
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization
AAAI 2024
Towards Rehearsal-Free Multilingual ASR: A LoRA-based Case Study on Whisper
Interspeech 2024
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
ECCV 2024
Towards Reliable Learning in the Wild: Generalization and Adaptation
AAAI 2024
Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline
NeurIPS 2024
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference
UAI 2024
Towards Reproducible, Automated, and Scalable Anomaly Detection
AAAI 2024
Towards Robust 3D Pose Transfer with Adversarial Learning
CVPR 2024
Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning
ACL 2024
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations
EMNLP 2024
Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology
EMNLP 2024
Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation
Interspeech 2024
Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks
AAAI 2024
Towards Robust Multimodal Sentiment Analysis with Incomplete Data
NeurIPS 2024
Towards Robustness to Natural Variations and Distribution Shift (Student Abstract)
AAAI 2024
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
ICLR 2024
Towards Robust Speech Representation Learning for Thousands of Languages
EMNLP 2024
Towards Robust Temporal Activity Localization Learning with Noisy Labels
COLING 2024
Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning
ACL 2024