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Learning Types

56,254 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 (1,984) 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)

Investigating Reproducibility at Interspeech Conferences: A Longitudinal and Comparative Perspective Interspeech 2023 Investigating Sentiment-Bearing Words- and Emoji-based Distant Supervision Approaches for Sentiment Analysis EACL 2023 Investigating Techniques for a Deeper Understanding of Neural Machine Translation (NMT) Systems through Data Filtering and Fine-tuning Strategies EMNLP 2023 Investigating the Effectiveness of Multiple Expert Models Collaboration EMNLP 2023 Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions EMNLP 2023 Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction RSS 2023 Investigating the Role and Impact of Disfluency on Summarization EMNLP 2023 Investigating the Role of Model-Based Learning in Exploration and Transfer ICML 2023 Investigating the Saliency of Sentiment Expressions in Aspect-Based Sentiment Analysis ACL 2023 Investigating UD Treebanks via Dataset Difficulty Measures EACL 2023 Investigating wav2vec2 context representations and the effects of fine-tuning, a case-study of a Finnish model Interspeech 2023 Investigating Zero-shot Cross-lingual Language Understanding for Arabic EMNLP 2023 Investigation of Music Emotion Recognition Based on Segmented Semi-Supervised Learning Interspeech 2023 INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations EMNLP 2023 In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages EMNLP 2023 IOL Research’s Submission for WMT 2023 Quality Estimation Shared Task EMNLP 2023 IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization ICCV 2023 IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers NeurIPS 2023 iQuery: Instruments As Queries for Audio-Visual Sound Separation CVPR 2023 IREL at SemEval-2023 Task 11: User Conditioned Modelling for Toxicity Detection in Subjective Tasks SemEval 2023 I run as fast as a rabbit, can you? A Multilingual Simile Dialogues Datasets ACL 2023 Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning? ICLR 2023 Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding CVPR 2023 iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models NeurIPS 2023 Is ChatGPT a General-Purpose Natural Language Processing Task Solver? EMNLP 2023