Papers
Decision Making in Hybrid Environments: A Model Aggregation Approach
Haolin Liu, Chen-Yu Wei, Zimmert Julian
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
Charita Dellaporta, Patrick O’Hara, Theodoros Damoulas
Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making
Hongling Zheng, Li Shen, Yong Luo et al.
Decision-Point Guided Safe Policy Improvement
Abhishek Sharma, Leo Benac, Sonali Parbhoo et al.
Decision SpikeFormer: Spike-Driven Transformer for Decision Making
Wei Huang, Qinying Gu, Nanyang Ye
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
Shayan Kiyani, George J. Pappas, Aaron Roth et al.
Decision Tree Induction Through LLMs via Semantically-Aware Evolution
Tennison Liu, Nicolas Huynh, Mihaela van der Schaar
Declarative Techniques for NL Queries over Heterogeneous Data
Elham Khabiri, Jeffrey O. Kephart, Fenno F. Heath Iii et al.
DeCLIP: Decoding CLIP Representations for Deepfake Localization
Stefan Smeu, Elisabeta Oneata, Dan Oneata
DeCLIP: Decoupled Learning for Open-Vocabulary Dense Perception
Junjie Wang, Bin Chen, Yulin Li et al.
DeClotH: Decomposable 3D Cloth and Human Body Reconstruction from a Single Image
Hyeongjin Nam, Donghwan Kim, Jeongtaek Oh et al.
DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing
Lo Pang-Yun Ting, Yu-Hao Chiang, Yi-Tung Tsai et al.
Decode Like a Clinician: Enhancing LLM Fine-Tuning with Temporal Structured Data Representation
Daniel Fadlon, David Dov, Aviya Bennett et al.
Decode Like a Clinician: Enhancing LLM Fine-Tuning with Temporal Structured Data Representation
Daniel Fadlon, David Dov, Aviya Bennett et al.
Decoder Gradient Shield: Provable and High-Fidelity Prevention of Gradient-Based Box-Free Watermark Removal
Haonan An, Guang Hua, Zhengru Fang et al.
Decoder-Only LLMs can be Masked Auto-Encoders
Dan Qiao, Yuan Gao, Zheming Yang et al.
Decoding Actionability: A Computational Analysis of Teacher Observation Feedback
Mayank Sharma, Jason Zhang
Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts
Baolong Bi, Shenghua Liu, Lingrui Mei et al.
Decoding Correlation-Induced Misalignment in the Stable Diffusion Workflow for Text-to-Image Generation
Yunze Tong, Fengda Zhang, Didi Zhu et al.
Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models
Aashiq Muhamed, Mona T. Diab, Virginia Smith
Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation
Esteban Garces Arias, Meimingwei Li, Christian Heumann et al.
Decoding Dense Embeddings: Sparse Autoencoders for Interpreting and Discretizing Dense Retrieval
Seongwan Park, Taeklim Kim, Youngjoong Ko
Decoding Echo Chambers: LLM-Powered Simulations Revealing Polarization in Social Networks
Chenxi Wang, Zongfang Liu, Dequan Yang et al.
Decoding Emergent Big Five Traits in Large Language Models: Temperature-Dependent Expression and Architectural Clustering
Christos Nikolaos Zacharopoulos, Revekka Kyriakoglou
Decoding Emergent Big Five Traits in Large Language Models: Temperature-Dependent Expression and Architectural Clustering
Christos Nikolaos Zacharopoulos, Revekka Kyriakoglou