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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)

Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception CVPR 2024 Building Higher-Order Abstractions from the Components of Recommender Systems AAAI 2024 Building Question-Answer Data Using Web Register Identification COLING 2024 Building Timeseries Dataset: Empowering Large-Scale Building Analytics NeurIPS 2024 Building Vision-Language Models on Solid Foundations with Masked Distillation CVPR 2024 BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction ACL 2024 Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates ICML 2024 Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NeurIPS 2024 C3L: Content Correlated Vision-Language Instruction Tuning Data Generation via Contrastive Learning IJCAI 2024 C3Net: Compound Conditioned ControlNet for Multimodal Content Generation CVPR 2024 C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits EMNLP 2024 CABINET: Content Relevance-based Noise Reduction for Table Question Answering ICLR 2024 CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset NeurIPS 2024 Cache & Distil: Optimising API Calls to Large Language Models ACL 2024 CAD - Contextual Multi-Modal Alignment for Dynamic AVQA WACV 2024 CAD: Photorealistic 3D Generation via Adversarial Distillation CVPR 2024 CALANet: Cheap All-Layer Aggregation for Human Activity Recognition NeurIPS 2024 Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models SemEval 2024 Calibrated and Conformal Propensity Scores for Causal Effect Estimation UAI 2024 Calibrated Self-Rewarding Vision Language Models NeurIPS 2024 Calibrating Language Models with Adaptive Temperature Scaling EMNLP 2024 Calibrating Long-form Generations From Large Language Models EMNLP 2024 Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations CVPR 2024 Calibrating the Confidence of Large Language Models by Eliciting Fidelity EMNLP 2024 Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know EACL 2024