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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)

Noise against noise: stochastic label noise helps combat inherent label noise ICLR 2021 Noise as a Resource for Learning in Knowledge Distillation WACV 2021 Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting IJCAI 2021 Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning AAAI 2021 Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection CVPR 2021 Noise-Tolerant Self-Supervised Learning for Audio-Visual Voice Activity Detection Interspeech 2021 Noisy Concurrent Training for Efficient Learning Under Label Noise WACV 2021 Noisy-Labeled NER with Confidence Estimation NAACL 2021 Noisy Student-Teacher Training for Robust Keyword Spotting Interspeech 2021 Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models EMNLP 2021 No MCMC for me: Amortized sampling for fast and stable training of energy-based models ICLR 2021 Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling AAAI 2021 Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction ICML 2021 Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction IJCAI 2021 Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning IJCAI 2021 Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder IJCAI 2021 Non-Intrusive Speech Quality Assessment with Transfer Learning and Subject-Specific Scaling Interspeech 2021 Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks AISTATS 2021 Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders JMLR 2021 Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation NeurIPS 2021 Nonmyopic Multifidelity Acitve Search ICML 2021 Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation ICML 2021 Non-Parallel Any-to-Many Voice Conversion by Replacing Speaker Statistics Interspeech 2021 Nonparametric Decomposition of Sparse Tensors ICML 2021 Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation CVPR 2021