Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

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)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks ICLR 2020 Harvesting and Refining Question-Answer Pairs for Unsupervised QA ACL 2020 Hashtags, Emotions, and Comments: A Large-Scale Dataset to Understand Fine-Grained Social Emotions to Online Topics EMNLP 2020 HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection COLING 2020 Hate-Speech and Offensive Language Detection in Roman Urdu EMNLP 2020 Hate Speech Detection in Saudi Twittersphere: A Deep Learning Approach COLING 2020 HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting CVPR 2020 Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads AACL 2020 Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers AAAI 2020 Heart Failure Education of African American and Hispanic/Latino Patients: Data Collection and Analysis ACL 2020 Hedging in games: Faster convergence of external and swap regrets NeurIPS 2020 HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media EMNLP 2020 Heterogeneous Graph Attention Networks for Scalable Multi-Robot Scheduling with Temporospatial Constraints RSS 2020 Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data AAAI 2020 Heuristic Black-Box Adversarial Attacks on Video Recognition Models AAAI 2020 Heuristic Domain Adaptation NeurIPS 2020 Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification CVPR 2020 Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series UAI 2020 Hidden Trigger Backdoor Attacks AAAI 2020 Hider-Finder-Combiner: An Adversarial Architecture for General Speech Signal Modification Interspeech 2020 HID: Hierarchical Multiscale Representation Learning for Information Diffusion IJCAI 2020 Hiding in Multilayer Networks AAAI 2020 Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation L4DC 2020 Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces PGM 2020 Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation ICLR 2020