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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)

Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NeurIPS 2024 Robust ASR Error Correction with Conservative Data Filtering EMNLP 2024 Robust Classification via Regression for Learning with Noisy Labels ICLR 2024 RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-Centric Learning WACV 2024 Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models ICML 2024 Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence NeurIPS 2024 Robust Contrastive Multi-view Kernel Clustering IJCAI 2024 Robust Counterfactual Explanations in Machine Learning: A Survey IJCAI 2024 Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples CVPR 2024 Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract) COLT 2024 Robust Entropy Search for Safe Efficient Bayesian Optimization UAI 2024 Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models AAAI 2024 Robust exploration with adversary via Langevin Monte Carlo L4DC 2024 Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning WACV 2024 Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification AAAI 2024 Robust Fine-tuning of Zero-shot Models via Variance Reduction NeurIPS 2024 Robust group and simultaneous inferences for high-dimensional single index model NeurIPS 2024 Robust Guidance for Unsupervised Data Selection: Capturing Perplexing Named Entities for Domain-Specific Machine Translation COLING 2024 Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection IJCAI 2024 Robust Image Denoising through Adversarial Frequency Mixup CVPR 2024 Robust Laughter Segmentation with Automatic Diverse Data Synthesis Interspeech 2024 Robust Learning via Conditional Prevalence Adjustment WACV 2024 Robust Loss Functions for Training Decision Trees with Noisy Labels AAAI 2024 Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach AAAI 2024 Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 2024