Papers
Direct Parameterization of Lipschitz-Bounded Deep Networks
Ruigang Wang, Ian Manchester
Dirichlet Diffusion Score Model for Biological Sequence Generation
Pavel Avdeyev, Chenlai Shi, Yuhao Tan et al.
DiscoBAX: Discovery of optimal intervention sets in genomic experiment design
Clare Lyle, Arash Mehrjou, Pascal Notin et al.
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
Shirley Wu, Mert Yuksekgonul, Linjun Zhang et al.
Discovering Object-Centric Generalized Value Functions From Pixels
Somjit Nath, Gopeshh Subbaraj, Khimya Khetarpal et al.
Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
Dayou Yu, Weishi Shi, Qi Yu
Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models
Parth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty et al.
Discrete Key-Value Bottleneck
Frederik Träuble, Anirudh Goyal, Nasim Rahaman et al.
Disentangled Generative Models for Robust Prediction of System Dynamics
Stathi Fotiadis, Mario Lino Valencia, Shunlong Hu et al.
Disentangled Multi-Fidelity Deep Bayesian Active Learning
Dongxia Wu, Ruijia Niu, Matteo Chinazzi et al.
Disentangled Multiplex Graph Representation Learning
Yujie Mo, Yajie Lei, Jialie Shen et al.
Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning
Antonio Sclocchi, Mario Geiger, Matthieu Wyart
Distance Weighted Supervised Learning for Offline Interaction Data
Joey Hejna, Jensen Gao, Dorsa Sadigh
Distilling Internet-Scale Vision-Language Models into Embodied Agents
Theodore Sumers, Kenneth Marino, Arun Ahuja et al.
Distortion and Uncertainty Aware Loss for Panoramic Depth Completion
Zhiqiang Yan, Xiang Li, Kun Wang et al.
Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost
Sanae Amani, Tor Lattimore, András György et al.
Distributed Linear Bandits under Communication Constraints
Sudeep Salgia, Qing Zhao
Distributional Offline Policy Evaluation with Predictive Error Guarantees
Runzhe Wu, Masatoshi Uehara, Wen Sun
Distribution Free Domain Generalization
Peifeng Tong, Wu Su, He Li et al.
Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference
Yan Xu, Deqian Kong, Dehong Xu et al.
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation
Ruijiang Dong, Feng Liu, Haoang Chi et al.
Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions
Wanshan Li, Daren Wang, Alessandro Rinaldo
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat
Shantanu Ghosh, Ke Yu, Forough Arabshahi et al.