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Techniques

9,432 papers (36 classified directly here)

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Papers (including subtopics)

ViTamin: Designing Scalable Vision Models in the Vision-Language Era CVPR 2024 ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions CVPR 2024 ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretraining AAAI 2024 ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization AAAI 2024 VkD: Improving Knowledge Distillation using Orthogonal Projections CVPR 2024 VLCounter: Text-Aware Visual Representation for Zero-Shot Object Counting AAAI 2024 VoiceTailor: Lightweight Plug-In Adapter for Diffusion-Based Personalized Text-to-Speech Interspeech 2024 VOODOO 3D: Volumetric Portrait Disentanglement For One-Shot 3D Head Reenactment CVPR 2024 VoxSim: A perceptual voice similarity dataset Interspeech 2024 VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs ICLR 2024 VRLLab at HSD-2Lang 2024: Turkish Hate Speech Detection Online with TurkishBERTweet EACL 2024 WateRF: Robust Watermarks in Radiance Fields for Protection of Copyrights CVPR 2024 wav2vec-S: Adapting Pre-trained Speech Models for Streaming ACL 2024 WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction IJCAI 2024 Weight-Entanglement Meets Gradient-Based Neural Architecture Search AutoML 2024 Weight-Sharing Regularization AISTATS 2024 What are the Generator Preferences for End-to-end Task-Oriented Dialog System? EMNLP 2024 What happens in continued pre-training? Analysis of self-supervised speech models with continued pre-training for colloquial Finnish ASR Interspeech 2024 What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity ICLR 2024 What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? CoRL 2024 What Matters to You? Towards Visual Representation Alignment for Robot Learning ICLR 2024 What Variables Affect Out-of-Distribution Generalization in Pretrained Models? NeurIPS 2024 What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks ICML 2024 When and How to Grow? On Efficient Pre-training via Model Growth ACML 2024 When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks AAAI 2024