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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection ACL 2023 Causal interventions expose implicit situation models for commonsense language understanding ACL 2023 CCEval: A Representative Evaluation Benchmark for the Chinese-centric Multilingual Machine Translation EMNLP 2023 CCIM: Cross-modal Cross-lingual Interactive Image Translation EMNLP 2023 CCQ: Cross-Class Query Network for Partially Labeled Organ Segmentation AAAI 2023 CCSRD: Content-Centric Speech Representation Disentanglement Learning for End-to-End Speech Translation EMNLP 2023 CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning AAAI 2023 Cell Variational Information Bottleneck Network ACML 2023 Certifiable Out-of-Distribution Generalization AAAI 2023 Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation ICLR 2023 Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NeurIPS 2023 Certified Robust Neural Networks: Generalization and Corruption Resistance ICML 2023 Certifying Fairness of Probabilistic Circuits AAAI 2023 CFA: Class-Wise Calibrated Fair Adversarial Training CVPR 2023 CFFT-GAN: Cross-Domain Feature Fusion Transformer for Exemplar-Based Image Translation AAAI 2023 Chain-of-Skills: A Configurable Model for Open-Domain Question Answering ACL 2023 Chain-of-Thought Embeddings for Stance Detection on Social Media EMNLP 2023 Chain of Thought Prompting Elicits Knowledge Augmentation ACL 2023 Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them ACL 2023 Change-Aware Sampling and Contrastive Learning for Satellite Images CVPR 2023 ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity? ACL 2023 ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness EMNLP 2023 CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models ACL 2023 Chinese Lexical Substitution: Dataset and Method EMNLP 2023 CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning CVPR 2023