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)

Turning 30: New Ideas in Inductive Logic Programming IJCAI 2020 Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks AAAI 2020 Two-branch Recurrent Network for Isolating Deepfakes in Videos ECCV 2020 Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation AAAI 2020 Two-sample Testing Using Deep Learning AISTATS 2020 Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data JMLR 2020 Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection IJCAI 2020 Two-Stage Polyphonic Sound Event Detection Based on Faster R-CNN-LSTM with Multi-Token Connectionist Temporal Classification Interspeech 2020 Two-Step Classification using Recasted Data for Low Resource Settings AACL 2020 TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP UAI 2020 TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories ACL 2020 uBLEU: Uncertainty-Aware Automatic Evaluation Method for Open-Domain Dialogue Systems ACL 2020 UCF-STAR: A Large Scale Still Image Dataset for Understanding Human Actions AAAI 2020 UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders CVPR 2020 UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation CVPR 2020 UDapter: Language Adaptation for Truly Universal Dependency Parsing EMNLP 2020 UdS-DFKI@WMT20: Unsupervised MT and Very Low Resource Supervised MT for German-Upper Sorbian EMNLP 2020 UET at WNUT-2020 Task 2: A Study of Combining Transfer Learning Methods for Text Classification with RoBERTa EMNLP 2020 Ultrasound-Based Articulatory-to-Acoustic Mapping with WaveGlow Speech Synthesis Interspeech 2020 UNAS: Differentiable Architecture Search Meets Reinforcement Learning CVPR 2020 Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels ICML 2020 Uncertain Natural Language Inference ACL 2020 Uncertainty and Traffic-Aware Active Learning for Semantic Parsing EMNLP 2020 Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents AAAI 2020 Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End CVPR 2020