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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)

Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference NeurIPS 2024 Infer from What You Have Seen Before: Temporally-dependent Classifier for Semi-supervised Video Segmentation CVPR 2024 Inferring Iterated Function Systems Approximately from Fractal Images IJCAI 2024 InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks COLING 2024 InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning CVPR 2024 Influential Exemplar Replay for Incremental Learning in Recommender Systems AAAI 2024 InfoCon: Concept Discovery with Generative and Discriminative Informativeness ICLR 2024 InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification IJCAI 2024 Information Capacity Regret Bounds for Bandits with Mediator Feedback JMLR 2024 Information Flow in Self-Supervised Learning ICML 2024 Information-theoretic Generalization Analysis for Expected Calibration Error NeurIPS 2024 Information-Theoretic Generalization Bounds for Transductive Learning and its Applications JMLR 2024 Informative Path Planning with Limited Adaptivity AISTATS 2024 InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling NeurIPS 2024 InfraParis: A Multi-Modal and Multi-Task Autonomous Driving Dataset WACV 2024 Infrared Adversarial Car Stickers CVPR 2024 Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models NeurIPS 2024 Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation NeurIPS 2024 Initialization Matters for Adversarial Transfer Learning CVPR 2024 Initializing Services in Interactive ML Systems for Diverse Users NeurIPS 2024 Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation NeurIPS 2024 Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models NeurIPS 2024 Injecting Wiktionary to improve token-level contextual representations using contrastive learning EACL 2024 Inlier Confidence Calibration for Point Cloud Registration CVPR 2024 In Pursuit of Causal Label Correlations for Multi-label Image Recognition NeurIPS 2024