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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)

Using Curriculum Masking Based on Child Language Development to Train a Large Language Model with Limited Training Data CoNLL 2024 Using Language Models to Disambiguate Lexical Choices in Translation EMNLP 2024 Using Large Language Models and Recruiter Expertise for Optimized Multilingual Job Offer – Applicant CV Matching IJCAI 2024 Using Large Language Models to Improve Query-based Constraint Acquisition IJCAI 2024 Using LLMs to simulate students’ responses to exam questions EMNLP 2024 Using Locally Learnt Word Representations for better Textual Anomaly Detection NAACL 2024 Using My Artistic Style? You Must Obtain My Authorization ECCV 2024 Using Natural Language Explanations to Improve Robustness of In-context Learning ACL 2024 Using Reinforcement Learning to Iteratively Construct Road Networks from Satellite Images and GPS Data AAAI 2024 Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media EMNLP 2024 Using Sarcasm to Improve Cyberbullying Detection COLING 2024 Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NeurIPS 2024 Using wav2vec 2.0 for phonetic classification tasks: methodological aspects Interspeech 2024 uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers? SemEval 2024 Utilizing Adaptive Global Response Normalization and Cluster-Based Pseudo Labels for Zero-Shot Voice Conversion Interspeech 2024 Utilizing GPT-4 to Solve TextWorld Commonsense Games Efficiently COLING 2024 Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series NeurIPS 2024 Utilizing Large Language Models to Identify Evidence of Suicidality Risk through Analysis of Emotionally Charged Posts EACL 2024 Utilizing Local Hierarchy with Adversarial Training for Hierarchical Text Classification COLING 2024 U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making AAAI 2024 UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation AAAI 2024 VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection AAAI 2024 VAE-based Phoneme Alignment Using Gradient Annealing and SSL Acoustic Features Interspeech 2024 VAEGPT-Sim: Improving Sentence Representation with Limited Corpus Using Gradually-Denoising VAE ACL 2024 Value Alignment from Unstructured Text EMNLP 2024