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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 Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives EMNLP 2019 The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data NeurIPS 2019 The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers NeurIPS 2019 The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval EMNLP 2019 The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure AAAI 2019 The DKU-SMIIP System for NIST 2018 Speaker Recognition Evaluation Interspeech 2019 The Effects of Time Expansion on English as a Second Language Individuals Interspeech 2019 The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization EMNLP 2019 The FEVER2.0 Shared Task EMNLP 2019 The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint COLT 2019 The IIIT-H Gujarati-English Machine Translation System for WMT19 ACL 2019 The Implicit Metropolis-Hastings Algorithm NeurIPS 2019 The information-theoretic value of unlabeled data in semi-supervised learning ICML 2019 The Kelly Growth Optimal Portfolio with Ensemble Learning AAAI 2019 The Label Complexity of Active Learning from Observational Data NeurIPS 2019 The Limitations of Adversarial Training and the Blind-Spot Attack ICLR 2019 The LMU Munich Unsupervised Machine Translation System for WMT19 ACL 2019 The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information ICCV 2019 The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine Translation ACL 2019 The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers ACL 2019 The Odds are Odd: A Statistical Test for Detecting Adversarial Examples ICML 2019 Theoretical Analysis of Adversarial Learning: A Minimax Approach NeurIPS 2019 Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning AISTATS 2019 Theoretical evidence for adversarial robustness through randomization NeurIPS 2019 Theoretical guarantees for sampling and inference in generative models with latent diffusions COLT 2019