conftrace_

Application Areas

34,437 papers (4 classified directly here)

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

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

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330

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1,828

2,498

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6,422

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Papers (including subtopics)

Curriculum Learning for Domain Adaptation in Neural Machine Translation NAACL 2019 Customizing Neural Machine Translation for Subtitling ACL 2019 Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation ICCV 2019 CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features ICCV 2019 CXPlain: Causal Explanations for Model Interpretation under Uncertainty NeurIPS 2019 CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions AAAI 2019 CycleGAN-Based Emotion Style Transfer as Data Augmentation for Speech Emotion Recognition Interspeech 2019 DADA: Depth-Aware Domain Adaptation in Semantic Segmentation ICCV 2019 DANE: Domain Adaptive Network Embedding IJCAI 2019 DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns IJCAI 2019 Data-Anonymous Encoding for Text-to-SQL Generation EMNLP 2019 Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank AAAI 2019 Data Augmentation by Data Noising for Open-vocabulary Slots in Spoken Language Understanding NAACL 2019 Data Augmentation for Spoken Language Understanding via Joint Variational Generation AAAI 2019 Data augmentation using back-translation for context-aware neural machine translation EMNLP 2019 Data Augmentation Using GANs for Speech Emotion Recognition Interspeech 2019 Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation CVPR 2019 Data Augmentation Using Variational Autoencoder for Embedding Based Speaker Verification Interspeech 2019 Data Augmentation with Atomic Templates for Spoken Language Understanding EMNLP 2019 Data Cleansing for Models Trained with SGD NeurIPS 2019 DATA: Differentiable ArchiTecture Approximation NeurIPS 2019 Data-Distortion Guided Self-Distillation for Deep Neural Networks AAAI 2019 Data-Driven Approach to Multiple-Source Domain Adaptation AISTATS 2019 Data Fine-Tuning AAAI 2019 Data-Free Learning of Student Networks ICCV 2019