Techniques
9,432 papers (36 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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9
12
33
95
225
447
788
914
1,131
1,059
1,342
1,450
1,375
541
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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