Posters

HyperLogic uses hypernetworks to generate diverse, accurate, and concise rule sets from neural networks, enhancing both interpretability and accuracy in rule learning.

This paper presents a novel approach for embedding supervised models in hyperbolic space, linking loss functions to hyperbolic distances and introducing monotonic decision trees for unambiguous visual…

Hyper-SD boosts diffusion model speed by using trajectory segmented consistency distillation and human feedback, achieving state-of-the-art performance.

Hyper-opinion Evidential Deep Learning (HEDL) enhances out-of-distribution detection by integrating sharp and vague evidence for superior uncertainty estimation and classification accuracy.

HydraViT: Stacking attention heads creates a scalable Vision Transformer, adapting to diverse hardware by dynamically selecting subnetworks during inference, improving accuracy and efficiency.

HYDRA, a novel model factorization framework, significantly improves black-box LLM personalization by capturing both user-specific behavior and shared knowledge, achieving a 9.01% average relative imp…

Hydra: Bidirectional sequence modeling redefined with quasiseparable matrix mixers, outperforming existing models on various benchmarks!

HYDRA-FL: A novel hybrid knowledge distillation method makes federated learning robust against poisoning attacks while maintaining accuracy!

Hybrid causal discovery algorithm efficiently learns unique causal graphs from observational data by leveraging local substructures and topological sorting, outperforming existing methods in accuracy …

Hybrid RL algorithms achieve sharper error/regret bounds than existing offline/online RL methods in linear MDPs, improving sample efficiency without stringent assumptions on behavior policy quality.

Hybrid Mamba Network (HMNet) boosts few-shot segmentation accuracy by efficiently fusing support and query features using a novel hybrid Mamba architecture, significantly outperforming current state-o…

GEMCODE, a hybrid AI pipeline, automates co-crystal design for enhanced drug tabletability by combining deep generative models and evolutionary optimization, predicting numerous novel co-crystals.

HuRef: Generate unique, human-readable fingerprints for LLMs to protect copyright without exposing model parameters or impeding training.

Humanoid robot learns to rearrange objects using vision and language instructions, achieving remarkable success on diverse tasks in a novel dataset.

HumanSplat: single image-based 3D human reconstruction using Gaussian Splatting with structural priors, achieving state-of-the-art quality and speed.

DIFFUSIONHOI: A novel HOI detector using text-to-image diffusion models to improve compositional reasoning and handling of novel concepts, achieving state-of-the-art performance.

Human-3Diffusion generates realistic 3D avatars from single RGB images using coupled 2D multi-view and 3D consistent diffusion models, achieving high-fidelity geometry and texture.

Multi-head transformers utilize distinct attention patterns across layers—multiple heads are essential for initial data preprocessing, while a single head suffices for subsequent optimization steps, o…

Inline Prior Guided Score Matching (IPSM) improves sparse-view 3D reconstruction by leveraging visual inline priors from pose relationships to rectify rendered image distribution and effectively guide…

CODA: A novel method for solving contextual goal-oriented problems with offline datasets, using unlabeled trajectories and context-goal pairs to create a fully labeled dataset, outperforming other bas…