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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)

A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER AAAI 2023 A Simple yet Efficient Ensemble Approach for AI-generated Text Detection EMNLP 2023 A Simple Yet Powerful Deep Active Learning With Snapshots Ensembles ICLR 2023 A Simple Yet Strong Domain-Agnostic De-bias Method for Zero-Shot Sentiment Classification ACL 2023 A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models ICML 2023 A Simplified Training Pipeline for Low-Resource and Unsupervised Machine Translation EACL 2023 Ask Language Model to Clean Your Noisy Translation Data EMNLP 2023 A Soft Nearest-Neighbor Framework for Continual Semi-Supervised Learning ICCV 2023 A Speaker Turn-Aware Multi-Task Adversarial Network for Joint User Satisfaction Estimation and Sentiment Analysis AAAI 2023 Aspect-aware Unsupervised Extractive Opinion Summarization ACL 2023 Aspect-Category Enhanced Learning with a Neural Coherence Model for Implicit Sentiment Analysis EMNLP 2023 A Spectral Viewpoint on Continual Relation Extraction EMNLP 2023 Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis EMNLP 2023 ASPIRO: Any-shot Structured Parsing-error-Induced ReprOmpting for Consistent Data-to-Text Generation EMNLP 2023 ASR and Emotional Speech: A Word-Level Investigation of the Mutual Impact of Speech and Emotion Recognition Interspeech 2023 ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion Interspeech 2023 ASR for Low Resource and Multilingual Noisy Code-Mixed Speech Interspeech 2023 ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models EMNLP 2023 Assessing the efficacy of large language models in generating accurate teacher responses ACL 2023 Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment NeurIPS 2023 Assisting Language Learners: Automated Trans-Lingual Definition Generation via Contrastive Prompt Learning ACL 2023 A State Representation for Diminishing Rewards NeurIPS 2023 A Statistical Learning Take on the Concordance Index for Survival Analysis AISTATS 2023 A Statistical Perspective on Retrieval-Based Models ICML 2023 A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset NeurIPS 2023