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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)

Evaluating Moral Beliefs across LLMs through a Pluralistic Framework EMNLP 2024 Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG EMNLP 2024 Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference AAAI 2024 Evaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency COLING 2024 Evaluating Psychological Safety of Large Language Models EMNLP 2024 Evaluating Self-Supervised Speech Representations for Indigenous American Languages COLING 2024 Evaluating Step-by-Step Reasoning through Symbolic Verification NAACL 2024 Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off ECCV 2024 Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding EMNLP 2024 Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning ACL 2024 Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification EMNLP 2024 Evaluating the Potential of Language-family-specific Generative Models for Low-resource Data Augmentation: A Faroese Case Study COLING 2024 Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models ACL 2024 Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods CVPR 2024 Evaluating Unsupervised Argument Aligners via Generation of Conclusions of Structured Scientific Abstracts EACL 2024 Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings COLING 2024 Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks ICML 2024 Evaluation of Test-Time Adaptation Under Computational Time Constraints ICML 2024 Evaluation of Video Masked Autoencoders' Performance and Uncertainty Estimations for Driver Action and Intention Recognition WACV 2024 EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition CVPR 2024 Event-enhanced Retrieval in Real-time Search COLING 2024 Event Representation Learning with Multi-Grained Contrastive Learning and Triple-Mixture of Experts COLING 2024 Every Answer Matters: Evaluating Commonsense with Probabilistic Measures ACL 2024 Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor NeurIPS 2024 Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering AAAI 2024