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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)

Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives ACL 2024 Large Language Models for Dysfluency Detection in Stuttered Speech Interspeech 2024 Large Language Models Know What is Key Visual Entity: An LLM-assisted Multimodal Retrieval for VQA EMNLP 2024 Large Language Models Must Be Taught to Know What They Don’t Know NeurIPS 2024 Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling COLING 2024 LARGEMED: A Resource for Identifying and Generating Paraphrases for French Medical Terms COLING 2024 Large Pre-trained time series models for cross-domain Time series analysis tasks NeurIPS 2024 Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization AAAI 2024 Large-scale Training of Foundation Models for Wearable Biosignals ICLR 2024 Large Scale Transfer Learning for Tabular Data via Language Modeling NeurIPS 2024 Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization NeurIPS 2024 LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning EMNLP 2024 LaSCal: Label-Shift Calibration without target labels NeurIPS 2024 LaSe-E2V: Towards Language-guided Semantic-aware Event-to-Video Reconstruction NeurIPS 2024 LASER: Learning by Aligning Self-supervised Representations of Speech for Improving Content-related Tasks Interspeech 2024 LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation CVPR 2024 Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games UAI 2024 Latent 3D Graph Diffusion ICLR 2024 LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration WACV 2024 Latent Functional Maps: a spectral framework for representation alignment NeurIPS 2024 Latent Gaussian Graphical Models with Golazo Penalty PGM 2024 Latent Intrinsics Emerge from Training to Relight NeurIPS 2024 Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning NeurIPS 2024 Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck ICLR 2024 Latent Space Editing in Transformer-Based Flow Matching AAAI 2024