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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)

Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs NeurIPS 2021 Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning NeurIPS 2021 Break-It-Fix-It: Unsupervised Learning for Program Repair ICML 2021 Bridge-Based Active Domain Adaptation for Aspect Term Extraction ACL 2021 Bridge To Answer: Structure-Aware Graph Interaction Network for Video Question Answering CVPR 2021 Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling EMNLP 2021 Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation ICML 2021 Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection NeurIPS 2021 Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation ACL 2021 Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management EACL 2021 Bridging the Imitation Gap by Adaptive Insubordination NeurIPS 2021 Bridging Unsupervised and Supervised Depth From Focus via All-in-Focus Supervision ICCV 2021 Broaden Your Views for Self-Supervised Video Learning ICCV 2021 Budgeted Heterogeneous Treatment Effect Estimation ICML 2021 Budget Feasible Mechanisms Over Graphs AAAI 2021 Building Adaptive Acceptability Classifiers for Neural NLG EMNLP 2021 Building Decision Tree for Imbalanced Classification via Deep Reinforcement Learning ACML 2021 BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NeurIPS 2021 Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data ICML 2021 Byzantine-Resilient Non-Convex Stochastic Gradient Descent ICLR 2021 C2N: Practical Generative Noise Modeling for Real-World Denoising ICCV 2021 C3-SemiSeg: Contrastive Semi-Supervised Segmentation via Cross-Set Learning and Dynamic Class-Balancing ICCV 2021 Calibrated Adversarial Refinement for Stochastic Semantic Segmentation ICCV 2021 calibrated adversarial training ACML 2021 Calibrate your listeners! Robust communication-based training for pragmatic speakers EMNLP 2021