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Deep Learning

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Papers

Towards Progressive Multi-Frequency Representation for Image Warping CVPR 2024 Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network CVPR 2024 Towards Unbiased Exploration in Partial Label Learning JMLR 2024 Training and Fine-Tuning NMT Models for Low-Resource Languages Using Apertium-Based Synthetic Corpora EMNLP 2024 Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation AAAI 2024 Trusted Multi-view Learning with Label Noise IJCAI 2024 TSU HITS’s Submissions to the WMT 2024 General Machine Translation Shared Task EMNLP 2024 TULIP: Multi-camera 3D Precision Assessment of Parkinson's Disease CVPR 2024 UDPM: Upsampling Diffusion Probabilistic Models NeurIPS 2024 UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation AAAI 2024 Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection CVPR 2024 Uncertainty Estimation in Instance Segmentation With Star-Convex Shapes WACV 2024 Understanding Bias in Large-Scale Visual Datasets NeurIPS 2024 Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective NeurIPS 2024 Unlearning Traces the Influential Training Data of Language Models ACL 2024 Unsupervised Deep Unrolling Networks for Phase Unwrapping CVPR 2024 UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancement CVPR 2024 Video-Based Human Pose Regression via Decoupled Space-Time Aggregation CVPR 2024 Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction NeurIPS 2024 WeiPer: OOD Detection using Weight Perturbations of Class Projections NeurIPS 2024 What Have We Achieved on Non-autoregressive Translation? ACL 2024 Who Wrote this Code? Watermarking for Code Generation ACL 2024 Zero-Shot Transfer of Neural ODEs NeurIPS 2024 3D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention CVPR 2023 AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration CVPR 2023