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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)

BertRLFuzzer: A BERT and Reinforcement Learning Based Fuzzer (Student Abstract) AAAI 2024 Best Arm Identification with Resource Constraints AISTATS 2024 Best-of-Both-Worlds Algorithms for Linear Contextual Bandits AISTATS 2024 Better Batch for Deep Probabilistic Time Series Forecasting AISTATS 2024 BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices NeurIPS 2024 Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective AISTATS 2024 Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks ICML 2024 Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling AAAI 2024 BetterV: Controlled Verilog Generation with Discriminative Guidance ICML 2024 BEV-MAE: Bird’s Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios AAAI 2024 Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation NeurIPS 2024 Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales NeurIPS 2024 Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification WACV 2024 Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation COLT 2024 Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? NeurIPS 2024 Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics EMNLP 2024 Beyond Document Page Classification: Design, Datasets, and Challenges WACV 2024 Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding AAAI 2024 Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection NeurIPS 2024 Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms AAAI 2024 Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion CVPR 2024 Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities AAAI 2024 Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization ACL 2024 Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning AAAI 2024 Beyond Optimism: Exploration With Partially Observable Rewards NeurIPS 2024