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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)

Unveiling the Achilles’ Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models ACL 2024 Unveiling the Art of Heading Design: A Harmonious Blend of Summarization, Neology, and Algorithm ACL 2024 Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models EMNLP 2024 Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement EMNLP 2024 Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators NeurIPS 2024 Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions through Masked Modeling CVPR 2024 Unveiling the Role of Pretraining in Direct Speech Translation EMNLP 2024 Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning AAAI 2024 Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability AAAI 2024 Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation CVPR 2024 Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels ICLR 2024 Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms NeurIPS 2024 Unveiling Vulnerability of Self-Attention COLING 2024 UOR: Universal Backdoor Attacks on Pre-trained Language Models ACL 2024 UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models EMNLP 2024 UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis ICML 2024 Upaya at ArabicNLU Shared-Task: Arabic Lexical Disambiguation using Large Language Models ACL 2024 Upgrading Search Applications in the Era of LLMs: A Demonstration with Practical Lessons IJCAI 2024 Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering AAAI 2024 UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond NeurIPS 2024 Urban Region Embedding via Multi-View Contrastive Prediction AAAI 2024 URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement Interspeech 2024 USD-AC: Unsupervised Speech Disentanglement for Accent Conversion Interspeech 2024 Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health AAAI 2024 Using Autodiff to Estimate Posterior Moments, Marginals and Samples UAI 2024