Papers
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim et al.
DisCEdit: Model Editing by Identifying Discriminative Components
Chaitanya Murti, Chiranjib Bhattacharyya
DisC-GS: Discontinuity-aware Gaussian Splatting
Haoxuan Qu, Zhuoling Li, Hossein Rahmani et al.
Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration
Borja G. Leon, Francesco Riccio, Kaushik Subramanian et al.
Discovering plasticity rules that organize and maintain neural circuits
David Bell, Alison Duffy, Adrienne Fairhall
Discovering Preference Optimization Algorithms with and for Large Language Models
Chris Lu, Samuel Holt, Claudio Fanconi et al.
Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models
Lujun Li, Peijie Dong, Zhenheng Tang et al.
Discovery of the Hidden World with Large Language Models
Chenxi Liu, Yongqiang Chen, Tongliang Liu et al.
DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
Peter Jansen, Marc-Alexandre Côté, Tushar Khot et al.
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
Taewon Park, Hyun-Chul Kim, Minho Lee
Discrete Flow Matching
Itai Gat, Tal Remez, Neta Shaul et al.
Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization
Yixin Chen, Ankur Nath, Chunli Peng et al.
Discrete Modeling via Boundary Conditional Diffusion Processes
Yuxuan Gu, Xiaocheng Feng, Lei Huang et al.
Discrete-state Continuous-time Diffusion for Graph Generation
Zhe Xu, Ruizhong Qiu, Yuzhong Chen et al.
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis
Shangshang Yang, Mingyang Chen, Ziwen Wang et al.
Disentangled Representation Learning in Non-Markovian Causal Systems
Adam Li, Yushu Pan, Elias Bareinboim
Disentangled Style Domain for Implicit $z$-Watermark Towards Copyright Protection
Junqiang Huang, Zhaojun Guo, Ge Luo et al.
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
Jiaheng Hu, Zizhao Wang, Peter Stone et al.
Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis
Jiayu Su, David A. Knowles, Raul Rabadan
Disentangling Linear Quadratic Control with Untrusted ML Predictions
Tongxin Li, Hao Liu, Yisong Yue
Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems
Aditi Jha, Diksha Gupta, Carlos D. Brody et al.
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation
Claude Formanek, Callum Rhys Tilbury, Louise Beyers et al.
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
Shangqian Gao, Chi-Heng Lin, Ting Hua et al.
Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
Yu Zhang, Ruoyu Li, Nengwu Wu et al.