분류 전체보기271 [2024-1] 박태호 - Chain-of-Thought Reasoning Without Prompting https://arxiv.org/abs/2402.10200 Chain-of-Thought Reasoning Without PromptingIn enhancing the reasoning capabilities of large language models (LLMs), prior research primarily focuses on specific prompting techniques such as few-shot or zero-shot chain-of-thought (CoT) prompting. These methods, while effective, often involve manuallarxiv.orgAbstractLLM의 decoding 과정에서 CoT path를 찾음으로써 프롬프트 없이 효과적을 .. 2024. 5. 11. [2024-1] 백승우 - A Unified Approach to Interpreting Model Predictions A Unified Approach to Interpreting Model PredictionsRequests for name changes in the electronic proceedings will be accepted with no questions asked. However name changes may cause bibliographic tracking issues. Authors are asked to consider this carefully and discuss it with their co-authors prior to requepapers.nips.cc0. Abstrct- Additive feature attribution methods에서 게임이론을 기반으로 하는 Shap Value가.. 2024. 5. 7. [2024-1] 백승우 - (DeepSORT) SIMPLE ONLINE AND REALTIME TRACKING WITH A DEEP ASSOCIATION METRIC Simple Online and Realtime Tracking with a Deep Association MetricSimple Online and Realtime Tracking (SORT) is a pragmatic approach to multiple object tracking with a focus on simple, effective algorithms. In this paper, we integrate appearance information to improve the performance of SORT. Due to this extension we arearxiv.org0. AbstractSORT은 간단하고 효과적인 알고리즘에 중점을 둔 MOT(Multi object tracking)에 .. 2024. 5. 7. [2024-1] 염제원 - Siamese Neural Networks for One-Shot Image Recognition https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf 1-1. Upsides of this approachCapable of learning generic image features useful for making predictions about unknown class distributions even when very few examples are available.Easily trained using standard optimization techniques on pairs sampled from the source data.Provide a competitive approach that does not rely upon domain-specific k.. 2024. 5. 6. 이전 1 ··· 51 52 53 54 55 56 57 ··· 68 다음
