Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks. SparseIDS: Learning Packet Sampling with Reinforcement Learning. Quantisation and Pruning for Neural Network Compression and Regularisation. BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation. A Simple Framework for Contrastive Learning of Visual Representati …

Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization. Measuring Social Biases in Grounded Vision and Language Embeddings. RNA Secondary Structure Prediction By Learning Unrolled Algorithms. Stacked DeBERT: All Attention in Incomplete Data for Text Classification. Unifying Graph Convolutional Neural Networks …

Winning the Lottery with Continuous Sparsification. Model Architecture Controls Gradient Descent Dynamics: A Combinatorial Path-Based Formula. Reweighted Proximal Pruning for Large-Scale Language Representation. Distilled embedding: non-linear embedding factorization using knowledge distillation. Soft Token Matching for Interpretable Low-Resource C …