Search Results for author:
Found 6 papers, 3 papers with code
TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing
Previous approaches have focused on either fine-tuning pre-trained T2I models on specific datasets to generate certain kinds of images (e. g., with a specific object or person), or on optimizing the weights, text prompts, and/or learning features for each input image in an attempt to coax the image generator to produce the desired result.
XplainLLM: A QA Explanation Dataset for Understanding LLM Decision-Making
The explanation component includes a why-choose explanation, a why-not-choose explanation, and a set of reason-elements that underlie the LLM's decision.
LMExplainer: a Knowledge-Enhanced Explainer for Language Models
We propose LMExplainer, a knowledge-enhanced explainer for LMs that can provide human-understandable explanations.
SPOTR: Spatio-temporal Pose Transformers for Human Motion Prediction
Our contributions are threefold: (i) we frame human motion prediction as a sequence-to-sequence problem and propose a non-autoregressive Transformer to forecast a sequence of poses in parallel; (ii) our method is activity agnostic; (iii) we show that despite its simplicity, our approach is able to make accurate predictions, achieving better or comparable results compared to the state-of-the-art on two public datasets, with far fewer parameters and much faster inference.
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer
This is a particularly notable issue in the medical domain, where layman are often confused by medical text online.
Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text
Video represents the majority of internet traffic today, driving a continual race between the generation of higher quality content, transmission of larger file sizes, and the development of network infrastructure.
