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UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
Juhwan Choi, Yeonghwa Kim, Seunguk Yu, JungMin Yun, YoungBin Kim
https://arxiv.org/abs/2405.01022

UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
Although pre-trained language models have exhibited great flexibility and versatility with prompt-based few-shot learning, they suffer from the extensive parameter size and limited applicability for inference. Recent studies have suggested that PLMs be used as dataset generators and a tiny task-specific model be trained to achieve efficient inference. However, their applicability to various domains is limited because they tend to generate domain-specific datasets. In this work, we propose a nov…

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Jonathan Jeremiah:
🎵 Youngblood
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Russia attacks 10 communities in Sumy Oblast: https://benborges.xyz/2024/05/02/russia-attacks-communities.html

Direct in-situ observations of wave-induced floe collisions in the deeper Marginal Ice Zone
Lars Willas Dreyer, Jean Rabault, Atle Jensen, Ingrid D{\ae}hlen, {\O}yvind Breivik, Gaute Hope, Yngve Kristoffersen
https://arxiv.org/abs/2404.02750

Direct in-situ observations of wave-induced floe collisions in the deeper Marginal Ice Zone
Ocean waves propagating through the Marginal Ice Zone (MIZ) and the pack ice are strongly attenuated. This attenuation is critical for protecting sea ice from energetic wave events that could otherwise lead to sea ice break-up and dislocation over large areas. Despite the importance of waves-in-ice attenuation, the exact physical mechanisms involved, and their relative importance, are still uncertain. Here we present for the first time direct in situ measurements of floe-floe interactions under…

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Russian Circles - Youngblood
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Youngblood by Russian Circles
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Beirut:
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https://open.spotify.com/track/1xRzpBiy7nmgP0oVmnseNF

Fusion Dynamical Systems with Machine Learning in Imitation Learning: A Comprehensive Overview
Yingbai Hu, Fares J. Abu-Dakka, Fei Chen, Xiao Luo, Zheng Li, Alois Knoll, Weiping Ding
https://arxiv.org/abs/2403.19916

Fusion Dynamical Systems with Machine Learning in Imitation Learning: A Comprehensive Overview
Imitation Learning (IL), also referred to as Learning from Demonstration (LfD), holds significant promise for capturing expert motor skills through efficient imitation, facilitating adept navigation of complex scenarios. A persistent challenge in IL lies in extending generalization from historical demonstrations, enabling the acquisition of new skills without re-teaching. Dynamical system-based IL (DSIL) emerges as a significant subset of IL methodologies, offering the ability to learn trajecto…

Russia shells 10 communities in Sumy Oblast, injuring 1: https://benborges.xyz/2024/03/01/russia-shells-communities.html

MIKO: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery
Feihong Lu, Weiqi Wang, Yangyifei Luo, Ziqin Zhu, Qingyun Sun, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, Jianxin Li
https://arxiv.org/abs/2402.18169

MIKO: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery
Social media has become a ubiquitous tool for connecting with others, staying updated with news, expressing opinions, and finding entertainment. However, understanding the intention behind social media posts remains challenging due to the implicitness of intentions in social media posts, the need for cross-modality understanding of both text and images, and the presence of noisy information such as hashtags, misspelled words, and complicated abbreviations. To address these challenges, we presen…