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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)

The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking ACL 2022 The patient is more dead than alive: exploring the current state of the multi-document summarisation of the biomedical literature ACL 2022 The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design NeurIPS 2022 The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift NeurIPS 2022 The Power of Prompt Tuning for Low-Resource Semantic Parsing ACL 2022 The predictability of literary translation AACL 2022 The price of unfairness in linear bandits with biased feedback NeurIPS 2022 The Primacy Bias in Deep Reinforcement Learning ICML 2022 The Rich Get Richer: Disparate Impact of Semi-Supervised Learning ICLR 2022 The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection AAAI 2022 The Role of Baselines in Policy Gradient Optimization NeurIPS 2022 The Role of Context and Uncertainty in Shallow Discourse Parsing COLING 2022 The Role of Deconfounding in Meta-learning ICML 2022 The Specificity and Helpfulness of Peer-to-Peer Feedback in Higher Education NAACL 2022 The Surprising Effectiveness of Representation Learning for Visual Imitation RSS 2022 The Teaching Dimension of Regularized Kernel Learners ICML 2022 The Tree Loss: Improving Generalization with Many Classes AISTATS 2022 The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization CVPR 2022 The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes NeurIPS 2022 The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning NeurIPS 2022 The Unsurprising Effectiveness of Pre-Trained Vision Models for Control ICML 2022 The VolcTrans System for WMT22 Multilingual Machine Translation Task EMNLP 2022 The ZevoMOS entry to VoiceMOS Challenge 2022 Interspeech 2022 Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again EMNLP 2022 Think Twice Before Detecting GAN-Generated Fake Images From Their Spectral Domain Imprints CVPR 2022