Co-occurring keywords · papers mentioning both
Papers
DeepMIM: Deep Supervision for Masked Image Modeling
WACV 2025
Deep Networks Learn Features From Local Discontinuities in the Label Function
ICLR 2025
Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video
AAAI 2025
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image Restoration
ICCV 2025
Diffeomorphism-based feature learning using Poincaré inequalities on augmented input space
JMLR 2025
Dimension Reduction for Symbolic Regression
AAAI 2025
Disentangling Linguistic Features with Dimension-Wise Analysis of Vector Embeddings
NAACL 2025
Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment
CVPR 2025
Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
ICCV 2025
Drafting and Revision: Advancing High-Fidelity Video Inpainting
IJCAI 2025
DUSTED: Dual-Attention Enhanced Spatial Transcriptomics Denoiser
AAAI 2025
Dynamic Derivation and Elimination: Audio Visual Segmentation with Enhanced Audio Semantics
CVPR 2025
Early Alignment in Two-Layer Networks Training is a Two-Edged Sword
JMLR 2025
Embeddings for Numerical Features Using tanh Activation
ACL 2025
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods
JMLR 2025
Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization
CVPR 2025
Exploratory Study into Relations between Cognitive Distortions and Emotional Appraisals
NAACL 2025
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection
ICCV 2025
FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection
AAAI 2025
Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks
ICLR 2025
Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers
JMLR 2025
Feature Spectrum Learning for Remote Sensing Change Detection
CVPR 2025
Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning
NAACL 2025
Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs
AISTATS 2025
From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
ICML 2025