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Showing 14301–14350 of 474278 papers

TitleStatusHype
Unified Vision-Language Pre-Training for Image Captioning and VQACode2
Segmentation Transformer: Object-Contextual Representations for Semantic SegmentationCode2
Positive-Unlabeled Compression on the CloudCode2
Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier RejectionCode2
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model ParallelismCode2
Adversarial Attacks and Defenses in Images, Graphs and Text: A ReviewCode2
Emergent Tool Use From Multi-Agent AutocurriculaCode2
DeepPrivacy: A Generative Adversarial Network for Face AnonymizationCode2
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorchCode2
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment ApproachCode2
PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase IdentificationCode2
Rényi Differential Privacy of the Sampled Gaussian MechanismCode2
Well-Read Students Learn Better: On the Importance of Pre-training Compact ModelsCode2
Asymmetric Non-local Neural Networks for Semantic SegmentationCode2
PubLayNet: largest dataset ever for document layout analysisCode2
A Tour of Convolutional Networks Guided by Linear InterpretersCode2
Star-convex Polyhedra for 3D Object Detection and Segmentation in MicroscopyCode2
Calibrating the Adaptive Learning Rate to Improve Convergence of ADAMCode2
Interlaced Sparse Self-Attention for Semantic SegmentationCode2
Enforcing geometric constraints of virtual normal for depth predictionCode2
Interpreting the Latent Space of GANs for Semantic Face EditingCode2
SceneGraphNet: Neural Message Passing for 3D Indoor Scene AugmentationCode2
Generative Modeling by Estimating Gradients of the Data DistributionCode2
The Indirect Convolution AlgorithmCode2
Interpretable Counterfactual Explanations Guided by PrototypesCode2
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series ForecastingCode2
PointFlow: 3D Point Cloud Generation with Continuous Normalizing FlowsCode2
A unified sparse optimization framework to learn parsimonious physics-informed models from dataCode2
Ekar: An Explainable Method for Knowledge Aware RecommendationCode2
A Strong Baseline and Batch Normalization Neck for Deep Person Re-identificationCode2
Fixing the train-test resolution discrepancyCode2
Stand-Alone Self-Attention in Vision ModelsCode2
The Replica Dataset: A Digital Replica of Indoor SpacesCode2
Synthetic QA Corpora Generation with Roundtrip ConsistencyCode2
Making Classical Machine Learning Pipelines Differentiable: A Neural Translation ApproachCode2
Global Context for Convolutional Pose MachinesCode2
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST LabelsCode2
Co-Occurrent Features in Semantic SegmentationCode2
Deep Learning Recommendation Model for Personalization and Recommendation SystemsCode2
Leveraging Latent Features for Local ExplanationsCode2
Interactive Differentiable SimulationCode2
FastSpeech: Fast, Robust and Controllable Text to SpeechCode2
FastSpeech: Fast,Robustand Controllable Text-to-SpeechCode2
Explaining Machine Learning Classifiers through Diverse Counterfactual ExplanationsCode2
Towards Automatically-Tuned Deep Neural NetworksCode2
Behavior Sequence Transformer for E-commerce Recommendation in AlibabaCode2
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder LossCode2
Video Instance SegmentationCode2
MASS: Masked Sequence to Sequence Pre-training for Language GenerationCode2
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and BeyondCode2
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