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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Papers (including subtopics)

Unsupervised Domain Adaptation for Dysarthric Speech Detection via Domain Adversarial Training and Mutual Information Minimization Interspeech 2021 Unsupervised Domain Adaptation for Person Re-identification via Heterogeneous Graph Alignment AAAI 2021 Unsupervised Domain Adaptation in Cross-corpora Abusive Language Detection NAACL 2021 Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings WACV 2021 Unsupervised Domain Adaptation Method with Semantic-Structural Alignment for Dependency Parsing EMNLP 2021 Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning NeurIPS 2021 Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification ICML 2021 Unsupervised Enrichment of Persona-grounded Dialog with Background Stories ACL 2021 Unsupervised Extractive Summarization using Pointwise Mutual Information EACL 2021 Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination CVPR 2021 Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation ICCV 2021 Unsupervised Foreground Extraction via Deep Region Competition NeurIPS 2021 Unsupervised Hashing with Contrastive Information Bottleneck IJCAI 2021 Unsupervised Human Pose Estimation Through Transforming Shape Templates CVPR 2021 Unsupervised Hyperbolic Metric Learning CVPR 2021 Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders CVPR 2021 Unsupervised Image Generation With Infinite Generative Adversarial Networks ICCV 2021 Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context EMNLP 2021 Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding IJCAI 2021 Unsupervised Layered Image Decomposition Into Object Prototypes ICCV 2021 Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach CVPR 2021 Unsupervised Learning of 3D Object Categories From Videos in the Wild CVPR 2021 Unsupervised Learning of Compositional Energy Concepts NeurIPS 2021 Unsupervised Learning of Depth and Depth-of-Field Effect From Natural Images With Aperture Rendering Generative Adversarial Networks CVPR 2021 Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced Graph Auto-Encoder AAAI 2021