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)

Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data MIDL 2022 Self supervised learning for robust voice cloning Interspeech 2022 Self-supervised Learning is More Robust to Dataset Imbalance ICLR 2022 Self-Supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection CVPR 2022 Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data NeurIPS 2022 Self-Supervised Learning of Domain Invariant Features for Depth Estimation WACV 2022 Self-Supervised Learning of Object Parts for Semantic Segmentation CVPR 2022 Self-Supervised Learning of Visual Graph Matching ECCV 2022 Self-Supervised Learning Through Efference Copies NeurIPS 2022 Self-Supervised Learning via Maximum Entropy Coding NeurIPS 2022 Self-Supervised Learning with an Information Maximization Criterion NeurIPS 2022 Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data IJCAI 2022 Self-Supervised Learning with Multi-Target Contrastive Coding for Non-Native Acoustic Modeling of Mispronunciation Verification Interspeech 2022 Self-supervised learning with random-projection quantizer for speech recognition ICML 2022 Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks CVPR 2022 Self-Supervised Models Are Continual Learners CVPR 2022 Self-supervised Models are Good Teaching Assistants for Vision Transformers ICML 2022 Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech ICML 2022 Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera IJCAI 2022 Self-Supervised Neural Articulated Shape and Appearance Models CVPR 2022 Self-Supervised Object Detection From Audio-Visual Correspondence CVPR 2022 Self-Supervised Object Localization with Joint Graph Partition AAAI 2022 Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection CVPR 2022 Self-Supervised Pretraining for Large-Scale Point Clouds NeurIPS 2022 Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures AAAI 2022