conftrace_

Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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477

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1,314

2,083

3,689

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8,201

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2000

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Papers (including subtopics)

Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision CVPR 2020 Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models NeurIPS 2020 Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning AACL 2020 Unsupervised Learning for Intrinsic Image Decomposition From a Single Image CVPR 2020 Unsupervised Learning for Sequence-to-Sequence Text-to-Speech for Low-Resource Languages Interspeech 2020 Unsupervised Learning From Video With Deep Neural Embeddings CVPR 2020 Unsupervised Learning of Camera Pose with Compositional Re-estimation WACV 2020 Unsupervised Learning of Dense Visual Representations NeurIPS 2020 Unsupervised Learning of Intrinsic Structural Representation Points CVPR 2020 Unsupervised Learning of Object Landmarks via Self-Training Correspondence NeurIPS 2020 Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild CVPR 2020 Unsupervised Learning of Visual Features by Contrasting Cluster Assignments NeurIPS 2020 Unsupervised Magnification of Posture Deviations Across Subjects CVPR 2020 Unsupervised Methods for Evaluating Speech Representations Interspeech 2020 Unsupervised Metric Learning with Synthetic Examples AAAI 2020 Unsupervised Metric Relocalization Using Transform Consistency Loss CoRL 2020 Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem CVPR 2020 Unsupervised Model Selection for Variational Disentangled Representation Learning ICLR 2020 Unsupervised Monocular Depth Learning in Dynamic Scenes CoRL 2020 Unsupervised Morphological Paradigm Completion ACL 2020 Unsupervised Multilingual Alignment using Wasserstein Barycenter IJCAI 2020 Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining ACL 2020 Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation CVPR 2020 Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting ACL 2020 Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning EMNLP 2020