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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)

Fusing Conditional Submodular GAN and Programmatic Weak Supervision AAAI 2024 Fusing Individualized Treatment Rules Using Secondary Outcomes AISTATS 2024 Fusion from a Distributional Perspective: A Unified Symbiotic Diffusion Framework for Any Multisource Remote Sensing Data Classification IJCAI 2024 Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction NAACL 2024 FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving NeurIPS 2024 GACL: Exemplar-Free Generalized Analytic Continual Learning NeurIPS 2024 G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks AAAI 2024 GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings ICLR 2024 GAIA: Zero-shot Talking Avatar Generation ICLR 2024 GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking AAAI 2024 Game-Theoretic Unlearnable Example Generator AAAI 2024 GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting NeurIPS 2024 Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding AAAI 2024 Gaussian Process Bandits for Top-k Recommendations NeurIPS 2024 GDA: Generalized Diffusion for Robust Test-time Adaptation CVPR 2024 GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning NeurIPS 2024 GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets EMNLP 2024 GECSum: Generative Evaluation-Driven Sequence Level Contrastive Learning for Abstractive Summarization COLING 2024 GeminiPro at SemEval-2024 Task 9: BrainTeaser on Gemini SemEval 2024 Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2 EMNLP 2024 GenAI Arena: An Open Evaluation Platform for Generative Models NeurIPS 2024 GenDecider: Integrating “None of the Candidates” Judgments in Zero-Shot Entity Linking Re-ranking NAACL 2024 GenDistiller: Distilling Pre-trained Language Models based on an Autoregressive Generative Model Interspeech 2024 GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion ICLR 2024 General Detection-based Text Line Recognition NeurIPS 2024