Papers
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation
Donghyeon Baek, Youngmin Oh, Sanghoon Lee et al.
Decomposing NeRF for Editing via Feature Field Distillation
Sosuke Kobayashi, Eiichi Matsumoto, Vincent Sitzmann
Deconfounded Representation Similarity for Comparison of Neural Networks
Tianyu Cui, Yogesh Kumar, Pekka Marttinen et al.
Decoupled Context Processing for Context Augmented Language Modeling
Zonglin Li, Ruiqi Guo, Sanjiv Kumar
Decoupled Self-supervised Learning for Graphs
Teng Xiao, Zhengyu Chen, Zhimeng Guo et al.
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
Bin-Bin Gao, Xiaochen Chen, Zhongyi Huang et al.
Decoupling Features in Hierarchical Propagation for Video Object Segmentation
Zongxin Yang, Yi Yang
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
Xiang Chen, Lei Li, Ningyu Zhang et al.
Deep Active Learning by Leveraging Training Dynamics
Haonan Wang, Wei Huang, Ziwei Wu et al.
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
Wuyang Chen, Wei Huang, Xinyu Gong et al.
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems
Yanchen Deng, Shufeng Kong, Caihua Liu et al.
Deep Bidirectional Language-Knowledge Graph Pretraining
Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren et al.
Deep Combinatorial Aggregation
Yuesong Shen, Daniel Cremers
Deep Compression of Pre-trained Transformer Models
Naigang Wang, Chi-Chun (Charlie) Liu, Swagath Venkataramani et al.
Deep Counterfactual Estimation with Categorical Background Variables
Edward De Brouwer
Deep Differentiable Logic Gate Networks
Felix Petersen, Christian Borgelt, Hilde Kuehne et al.
Deep Ensembles Work, But Are They Necessary?
Taiga Abe, Estefany Kelly Buchanan, Geoff Pleiss et al.
Deep Equilibrium Approaches to Diffusion Models
Ashwini Pokle, Zhengyang Geng, J. Zico Kolter
DeepFoids: Adaptive Bio-Inspired Fish Simulation with Deep Reinforcement Learning
Yuko Ishiwaka, Xiao Zeng, Shun Ogawa et al.
Deep Fourier Up-Sampling
man zhou, Hu Yu, Jie Huang et al.
Deep Generalized Schrödinger Bridge
Guan-Horng Liu, Tianrong Chen, Oswin So et al.
Deep Generative Model for Periodic Graphs
Shiyu Wang, Xiaojie Guo, Liang Zhao
Deep Hierarchical Planning from Pixels
Danijar Hafner, Kuang-Huei Lee, Ian Fischer et al.
DeepInteraction: 3D Object Detection via Modality Interaction
Zeyu Yang, Jiaqi Chen, Zhenwei Miao et al.
Deep invariant networks with differentiable augmentation layers
Cédric ROMMEL, Thomas Moreau, Alexandre Gramfort