Search Results - "Lee, Kimin"

Hierarchical Novelty Detection for Visual Object Recognition by Lee, Kibok, Lee, Kimin, Min, Kyle, Zhang, Yuting, Shin, Jinwoo, Lee, Honglak

“…Deep neural networks have achieved impressive success in large-scale visual object recognition tasks with a predefined set of classes. However, recognizing…”
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Just-in-time WLANs: On-demand interference-managed WLAN infrastructures by Kimin Lee, Yeonkeun Kim, Seokhyun Kim, Jinwoo Shin, Seungwon Shin, Song Chong

“…In the past years, the centralized management of dense wireless local area networks has been emerged as a powerful paradigm for improving energy efficiency as…”
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Regularizing Class-Wise Predictions via Self-Knowledge Distillation by Yun, Sukmin, Park, Jongjin, Lee, Kimin, Shin, Jinwoo

“…Deep neural networks with millions of parameters may suffer from poor generalization due to overfitting. To mitigate the issue, we propose a new regularization…”
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Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild by Lee, Kibok, Lee, Kimin, Shin, Jinwoo, Lee, Honglak

“…Lifelong learning with deep neural networks is well-known to suffer from catastrophic forgetting: the performance on previous tasks drastically degrades when…”
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Interphase-Controlled Inkjet Printing of MicroInlaid OLEDs: Effects of Solvent– and Solute–Polymer Interactions by Park, JaeWoo, Kim, Wonsun, Kim, MyeongGyu, Jeong, HyeRyun, Lee, Kimin, Kil, Juneyoung, Yang, Sui, Choi, Eun Ha, Park, Byoungchoo

“…Inkjet printing, a highly promising technique for the cost-effective fabrication of large-scale organic light-emitting devices (OLEDs), typically necessitates…”
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Dynamic Control for On-Demand Interference-Managed WLAN Infrastructures by Kim, Seokhyun, Lee, Kimin, Kim, Yeonkeun, Shin, Jinwoo, Shin, Seungwon, Chong, Song

“…In order to handle a high traffic demand, dense wireless local area networks (WLANs) have been deployed rapidly in the past years. However, dense WLANs cause…”
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HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator by Seo, Younggyo, Lee, Kimin, Liu, Fangchen, James, Stephen, Abbeel, Pieter

“…Video prediction is an important yet challenging problem; burdened with the tasks of generating future frames and learning environment dynamics. Recently,…”
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TravelMiner: On the Benefit of Path-Based Mobility Prediction by Jaeseong Jeong, Kyunghan Lee, Abdikamalov, Beknazar, Kimin Lee, Song Chong

“…Mobility predictions are becoming more valuable in various applications with the rise of mobile devices. Given that existing prediction techniques are composed…”
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Towards More Generalizable One-shot Visual Imitation Learning by Mandi, Zhao, Liu, Fangchen, Lee, Kimin, Abbeel, Pieter

“…A general-purpose robot should be able to master a wide range of tasks and quickly learn a novel one by leveraging past experiences. One-shot imitation…”
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Aligning Large Language Models with Self-generated Preference Data by Kim, Dongyoung, Lee, Kimin, Shin, Jinwoo, Kim, Jaehyung

“…Aligning large language models (LLMs) with human preferences becomes a key component to obtaining state-of-the-art performance, but it yields a huge cost to…”
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Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models by Jang, Sangwon, Jo, Jaehyeong, Lee, Kimin, Hwang, Sung Ju

“…Text-to-image diffusion models have shown remarkable success in generating personalized subjects based on a few reference images. However, current methods…”
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InstructBooth: Instruction-following Personalized Text-to-Image Generation by Chae, Daewon, Park, Nokyung, Kim, Jinkyu, Lee, Kimin

“…Personalizing text-to-image models using a limited set of images for a specific object has been explored in subject-specific image generation. However,…”
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Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers by Jang, Eugene, Lee, Kimin, Chung, Jin-Woo, Park, Keuntae, Shin, Seungwon

“…Tokenization is a crucial step that bridges human-readable text with model-readable discrete tokens. However, recent studies have revealed that tokenizers can…”
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Controllability-Aware Unsupervised Skill Discovery by Park, Seohong, Lee, Kimin, Lee, Youngwoon, Abbeel, Pieter

“…One of the key capabilities of intelligent agents is the ability to discover useful skills without external supervision. However, the current unsupervised…”
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MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control by Lee, Juyong, Hahm, Dongyoon, Choi, June Suk, Knox, W. Bradley, Lee, Kimin

“…Autonomous agents powered by large language models (LLMs) show promising potential in assistive tasks across various domains, including mobile device control…”
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PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training by Lee, Kimin, Smith, Laura, Abbeel, Pieter

“…Conveying complex objectives to reinforcement learning (RL) agents can often be difficult, involving meticulous design of reward functions that are…”
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When LLMs Go Online: The Emerging Threat of Web-Enabled LLMs by Kim, Hanna, Song, Minkyoo, Na, Seung Ho, Shin, Seungwon, Lee, Kimin

“…Recent advancements in Large Language Models (LLMs) have established them as agentic systems capable of planning and interacting with various tools. These LLM…”
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Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models by Yang, Yongjin, Kim, Sihyeon, Jung, Hojung, Bae, Sangmin, Kim, SangMook, Yun, Se-Young, Lee, Kimin

“…Fine-tuning text-to-image diffusion models with human feedback is an effective method for aligning model behavior with human intentions. However, this…”
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DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing by Choi, June Suk, Lee, Kyungmin, Jeong, Jongheon, Xie, Saining, Shin, Jinwoo, Lee, Kimin

“…Recent advances in diffusion models have introduced a new era of text-guided image manipulation, enabling users to create realistic edited images with simple…”
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Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback by Kim, Kyuyoung, Seo, Ah Jeong, Liu, Hao, Shin, Jinwoo, Lee, Kimin

“…Large language models (LLMs) fine-tuned with alignment techniques, such as reinforcement learning from human feedback, have been instrumental in developing…”
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