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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)
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Papers (including subtopics)

Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching EMNLP 2021 Symbolic Music Generation with Transformer-GANs AAAI 2021 Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding NeurIPS 2021 SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized With Semantic Segmentation for Autonomous Driving WACV 2021 Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting AAAI 2021 Syntactically Diverse Adversarial Network for Knowledge-Grounded Conversation Generation EMNLP 2021 Syntactically-Informed Unsupervised Paraphrasing with Non-Parallel Data EMNLP 2021 Syntactic Nuclei in Dependency Parsing – A Multilingual Exploration EACL 2021 SynthASR: Unlocking Synthetic Data for Speech Recognition Interspeech 2021 Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces ICCV 2021 Synthesize-It-Classifier: Learning a Generative Classifier Through Recurrent Self-Analysis CVPR 2021 Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering EMNLP 2021 Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text EMNLP 2021 Synthetic Examples Improve Cross-Target Generalization: A Study on Stance Detection on a Twitter corpus. EACL 2021 Synthetic Expressions Are Better Than Real for Learning to Detect Facial Actions WACV 2021 T2NER: Transformers based Transfer Learning Framework for Named Entity Recognition EACL 2021 TABBIE: Pretrained Representations of Tabular Data NAACL 2021 TabPert : An Effective Platform for Tabular Perturbation EMNLP 2021 Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks ACL 2021 Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model AAAI 2021 Tag Assisted Neural Machine Translation of Film Subtitles ACL 2021 Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences IJCAI 2021 Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors AAAI 2021 Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time NeurIPS 2021 TAILOR: Teaching with Active and Incremental Learning for Object Registration AAAI 2021