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
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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)
Soft Contrastive Learning for Time Series
ICLR 2024
Soft Curriculum for Learning Conditional GANs With Noisy-Labeled and Uncurated Unlabeled Data
WACV 2024
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement
CVPR 2024
Soft-Label Integration for Robust Toxicity Classification
NeurIPS 2024
Soft Learning Probabilistic Circuits
PGM 2024
SoftMCL: Soft Momentum Contrastive Learning for Fine-grained Sentiment-aware Pre-training
COLING 2024
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
NeurIPS 2024
Soft Prompt Tuning for Cross-Lingual Transfer: When Less is More
EACL 2024
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity
ICLR 2024
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
NeurIPS 2024
Soft Self-Consistency Improves Language Models Agents
ACL 2024
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation
ICLR 2024
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint
AISTATS 2024
Solving Minimum-Cost Reach Avoid using Reinforcement Learning
NeurIPS 2024
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization
AAAI 2024
Solving Sparse \& High-Dimensional-Output Regression via Compression
NeurIPS 2024
Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability
AAAI 2024
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
CVPR 2024
Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding
NeurIPS 2024
Sonnet or Not, Bot? Poetry Evaluation for Large Models and Datasets
EMNLP 2024
SOT Triggered Neural Clustering for Speaker Attributed ASR
Interspeech 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
EMNLP 2024
Sound3DVDet: 3D Sound Source Detection Using Multiview Microphone Array and RGB Images
WACV 2024
Sound Event Bounding Boxes
Interspeech 2024
Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability Objectives
UAI 2024