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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)

Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning L4DC 2024 Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs AAAI 2024 FIRST: Faster Improved Listwise Reranking with Single Token Decoding EMNLP 2024 First-Order Minimax Bilevel Optimization NeurIPS 2024 FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation EMNLP 2024 Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models EMNLP 2024 FishTrack23: An Ensemble Underwater Dataset for Multi-Object Tracking WACV 2024 Fixed-Budget Differentially Private Best Arm Identification ICLR 2024 Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation ICLR 2024 Fixing Overconfidence in Dynamic Neural Networks WACV 2024 (FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning NeurIPS 2024 FLAME: A Small Language Model for Spreadsheet Formulas AAAI 2024 FLAME : Factuality-Aware Alignment for Large Language Models NeurIPS 2024 FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models CVPR 2024 Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM NeurIPS 2024 FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning ICLR 2024 Flexible Biometrics Recognition: Bridging the Multimodality Gap through Attention Alignment and Prompt Tuning CVPR 2024 Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals NeurIPS 2024 Flexible task abstractions emerge in linear networks with fast and bounded units NeurIPS 2024 Flexible Weight Tuning and Weight Fusion Strategies for Continual Named Entity Recognition ACL 2024 FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint) AAAI 2024 FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering AAAI 2024 FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation NeurIPS 2024 “Flex Tape Can’t Fix That”: Bias and Misinformation in Edited Language Models EMNLP 2024 Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery NeurIPS 2024