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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)

Certifiably Robust Graph Contrastive Learning NeurIPS 2023 (Certified!!) Adversarial Robustness for Free! ICLR 2023 Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation ICLR 2023 Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning AAAI 2023 Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NeurIPS 2023 Certified Robust Neural Networks: Generalization and Corruption Resistance ICML 2023 Certifying Ensembles: A General Certification Theory with S-Lipschitzness ICML 2023 CFA: Class-Wise Calibrated Fair Adversarial Training CVPR 2023 CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision ICCV 2023 CFL-Net: Image Forgery Localization Using Contrastive Learning WACV 2023 CFTNet: Complex-valued Frequency Transformation Network for Speech Enhancement Interspeech 2023 Chain-of-Skills: A Configurable Model for Open-Domain Question Answering ACL 2023 Chain of Thought Prompting Elicits Knowledge Augmentation ACL 2023 Chain-of-Thought Reasoning in Tabular Language Models EMNLP 2023 Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction EMNLP 2023 Challenges in Context-Aware Neural Machine Translation EMNLP 2023 Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them ACL 2023 Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning ICML 2023 CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos ICCV 2023 Change-Aware Sampling and Contrastive Learning for Satellite Images CVPR 2023 Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models IJCAI 2023 Characteristic Circuits NeurIPS 2023 Characterizing and Measuring Linguistic Dataset Drift ACL 2023 Characterizing Internal Evasion Attacks in Federated Learning AISTATS 2023 Characterizing personalized effects of family information on disease risk using graph representation learning MLHC 2023