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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)

ADELT: Transpilation between Deep Learning Frameworks IJCAI 2024 A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning IJCAI 2024 A differentiable first-order rule learner for inductive logic programming (Abstract Reprint) IJCAI 2024 A Diffusion-Based Pre-training Framework for Crystal Property Prediction AAAI 2024 A Discretization Framework for Robust Contextual Stochastic Optimization ICLR 2024 A distributional simplicity bias in the learning dynamics of transformers NeurIPS 2024 AdjointDEIS: Efficient Gradients for Diffusion Models NeurIPS 2024 Adjudicating LLMs as PropBank Adjudicators COLING 2024 Adjustment Identification Distance: A gadjid for Causal Structure Learning UAI 2024 ADOPD: A Large-Scale Document Page Decomposition Dataset ICLR 2024 ADOPT: Modified Adam Can Converge with Any β_2 with the Optimal Rate NeurIPS 2024 A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation CVPR 2024 A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives AAAI 2024 A dual task learning approach to fine-tune a multilingual semantic speech encoder for Spoken Language Understanding Interspeech 2024 A Dual-View Approach to Classifying Radiology Reports by Co-Training COLING 2024 AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks NeurIPS 2024 Advancement in Graph Understanding: A Multimodal Benchmark and Fine-Tuning of Vision-Language Models ACL 2024 Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models EMNLP 2024 Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models NeurIPS 2024 Advancing Cross-Lingual Entity Alignment with Large Language Models: Tailored Sample Segmentation and Zero-Shot Prompts EMNLP 2024 Advancing CSR Theme and Topic Classification: LLMs and Training Enhancement Insights COLING 2024 Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation NeurIPS 2024 Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation IJCAI 2024 Advancing Language Diversity and Inclusion: Towards a Neural Network-based Spell Checker and Correction for Wolof COLING 2024 Advancing Large Language Model Attribution through Self-Improving EMNLP 2024