Skip to content
conftrace_

Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Towards Multi-Scale Style Control for Expressive Speech Synthesis Interspeech 2021 Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach NeurIPS 2021 Towards Reusable Network Components by Learning Compatible Representations AAAI 2021 Towards Robust Classification Model by Counterfactual and Invariant Data Generation CVPR 2021 Towards Robustness Against Natural Language Word Substitutions ICLR 2021 Towards Robustness of Text-to-SQL Models against Synonym Substitution ACL 2021 Towards robust vision by multi-task learning on monkey visual cortex NeurIPS 2021 Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution AAAI 2021 Towards Rotation Invariance in Object Detection ICCV 2021 Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings? AAAI 2021 Towards Table-to-Text Generation with Numerical Reasoning ACL 2021 Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration AAAI 2021 Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion IJCAI 2021 Towards User-Driven Neural Machine Translation ACL 2021 Towards Visual Question Answering on Pathology Images ACL 2021 Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models EMNLP 2021 Towards Zero-Shot Knowledge Distillation for Natural Language Processing EMNLP 2021 Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning ICML 2021 To what extent do human explanations of model behavior align with actual model behavior? EMNLP 2021 Tracing variation in discourse connectives in translation and interpreting through neural semantic spaces EMNLP 2021 Track, Check, Repeat: An EM Approach to Unsupervised Tracking CVPR 2021 Track To Detect and Segment: An Online Multi-Object Tracker CVPR 2021 Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows NeurIPS 2021 Traffic Forecasting using Vehicle-to-Vehicle Communication L4DC 2021 Trainable Ranking Models to Evaluate the Semantic Accuracy of Data-to-Text Neural Generator EMNLP 2021