Architectures

Data Factors for Better Compositional Generalization EMNLP 2023 Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity ICLR 2023 Data Imputation with Iterative Graph Reconstruction AAAI 2023 Data Level Lottery Ticket Hypothesis for Vision Transformers IJCAI 2023 Data Market Design through Deep Learning NeurIPS 2023 Data Poisoning Attacks Against Multimodal Encoders ICML 2023 Data Representations’ Study of Latent Image Manifolds ICML 2023 Data Valuation Without Training of a Model ICLR 2023 DAVA: Disentangling Adversarial Variational Autoencoder ICLR 2023 DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization CVPR 2023 DBGDGM: Dynamic Brain Graph Deep Generative Model MIDL 2023 DBGSL: Dynamic Brain Graph Structure Learning MIDL 2023 DC-Former: Diverse and Compact Transformer for Person Re-identification AAAI 2023 DCPB: Deformable Convolution Based on the Poincare Ball for Top-view Fisheye Cameras ICCV 2023 DCTX-Conformer: Dynamic context carry-over for low latency unified streaming and non-streaming Conformer Interspeech 2023 DCU at SemEval-2023 Task 10: A Comparative Analysis of Encoder-only and Decoder-only Language Models with Insights into Interpretability SemEval 2023 DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates ICCV 2023 Decentralized Riemannian Algorithm for Nonconvex Minimax Problems AAAI 2023 Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models ICLR 2023 Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment NeurIPS 2023 Decision Transformer under Random Frame Dropping ICLR 2023 Decoding Layer Saliency in Language Transformers ICML 2023 Decoding natural image stimuli from fMRI data with a surface-based convolutional network MIDL 2023 Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory NeurIPS 2023 DecompX: Explaining Transformers Decisions by Propagating Token Decomposition ACL 2023