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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)

NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security NeurIPS 2024 OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NeurIPS 2024 Object Attribute Matters in Visual Question Answering AAAI 2024 Object-Aware Adaptive-Positivity Learning for Audio-Visual Question Answering AAAI 2024 Object Aware Contrastive Prior for Interactive Image Segmentation WACV 2024 Object-Centric Video Representation for Long-Term Action Anticipation WACV 2024 Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli NeurIPS 2024 Observing the Southern US Culture of Honor Using Large-Scale Social Media Analysis EMNLP 2024 OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation CVPR 2024 Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality NeurIPS 2024 OCEAN-AI: open multimodal framework for personality traits assessment and HR-processes automatization Interspeech 2024 OctavianB at SemEval-2024 Task 6: An exploration of humanlike qualities of hallucinated LLM texts SemEval 2024 Octo: An Open-Source Generalist Robot Policy RSS 2024 OctoPack: Instruction Tuning Code Large Language Models ICLR 2024 ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazing CVPR 2024 OdiaGenAI’s Participation in WMT2024 English-to-Low Resource Multimodal Translation Task EMNLP 2024 ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update ICLR 2024 ODRL: A Benchmark for Off-Dynamics Reinforcement Learning NeurIPS 2024 OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-Supervised Video Anomaly Detection WACV 2024 Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs UAI 2024 Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees ICLR 2024 Offline Model-Based Optimization via Policy-Guided Gradient Search AAAI 2024 Offline Multitask Representation Learning for Reinforcement Learning NeurIPS 2024 Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff NeurIPS 2024 Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data COLT 2024