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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)

Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation ACL 2022 Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch Training COLING 2022 Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning COLING 2022 Towards Robust NLG Bias Evaluation with Syntactically-diverse Prompts EMNLP 2022 Towards Robust Unsupervised Disentanglement of Sequential Data — A Case Study Using Music Audio IJCAI 2022 Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning EMNLP 2022 Towards Semi-Supervised Deep Facial Expression Recognition With an Adaptive Confidence Margin CVPR 2022 Towards Simple and Efficient Task-Adaptive Pre-training for Text Classification AACL 2022 Towards Stronger Adversarial Baselines Through Human-AI Collaboration ACL 2022 Towards Summarizing Healthcare Questions in Low-Resource Setting COLING 2022 Towards Summary Candidates Fusion EMNLP 2022 Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement EMNLP 2022 Towards Transferable Adversarial Attacks on Vision Transformers AAAI 2022 Towards Understanding Adversarial Robustness of Optical Flow Networks CVPR 2022 Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models NAACL 2022 Towards Understanding the Data Dependency of Mixup-style Training ICLR 2022 Towards Understanding the Relation between Gestures and Language COLING 2022 Towards Understanding the Robustness Against Evasion Attack on Categorical Data ICLR 2022 Towards Unification of Discourse Annotation Frameworks ACL 2022 Towards Unified Prompt Tuning for Few-shot Text Classification EMNLP 2022 Towards Uniformly Superhuman Autonomy via Subdominance Minimization ICML 2022 Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis ACL 2022 Towards Unsupervised Domain Generalization CVPR 2022 Towards Unsupervised Morphological Analysis of Polysynthetic Languages AACL 2022 Towards unsupervised open world semantic segmentation UAI 2022