Search Results - "Bruni, Elia"

Gland segmentation in colon histology images: The glas challenge contest by Sirinukunwattana, Korsuk, Pluim, Josien P.W., Chen, Hao, Qi, Xiaojuan, Heng, Pheng-Ann, Guo, Yun Bo, Wang, Li Yang, Matuszewski, Bogdan J., Bruni, Elia, Sanchez, Urko, Böhm, Anton, Ronneberger, Olaf, Cheikh, Bassem Ben, Racoceanu, Daniel, Kainz, Philipp, Pfeiffer, Michael, Urschler, Martin, Snead, David R.J., Rajpoot, Nasir M.

“…•The Gland Segmentation in Colon Histology Images Challenge (GlaS) Contest at MICCAI15.•The complete details of the challenge are presented.•The descriptions…”
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Compositionality Decomposed: How do Neural Networks Generalise? by Hupkes, Dieuwke, Dankers, Verna, Mul, Mathijs, Bruni, Elia

“…Despite a multitude of empirical studies, little consensus exists on whether neural networks are able to generalise compositionally, a controversy that, in…”
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From Form(s) to Meaning: Probing the Semantic Depths of Language Models Using Multisense Consistency by Ohmer, Xenia, Bruni, Elia, Hupkes, Dieuwke

“…Abstract The staggering pace with which the capabilities of large language models (LLMs) are increasing, as measured by a range of commonly used natural…”
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Multimodal Distributional Semantics by Bruni, E., Tran, N. K., Baroni, M.

“…Distributional semantic models derive computational representations of word meaning from the patterns of co-occurrence of words in text. Such models have been…”
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Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer by Ehteshami Bejnordi, Babak, Veta, Mitko, Johannes van Diest, Paul, van Ginneken, Bram, Karssemeijer, Nico, Litjens, Geert, van der Laak, Jeroen A. W. M, Hermsen, Meyke, Manson, Quirine F, Balkenhol, Maschenka, Geessink, Oscar, Stathonikos, Nikolaos, van Dijk, Marcory CRF, Bult, Peter, Beca, Francisco, Beck, Andrew H, Wang, Dayong, Khosla, Aditya, Gargeya, Rishab, Irshad, Humayun, Zhong, Aoxiao, Dou, Qi, Li, Quanzheng, Chen, Hao, Lin, Huang-Jing, Heng, Pheng-Ann, Haß, Christian, Bruni, Elia, Wong, Quincy, Halici, Ugur, Öner, Mustafa Ümit, Cetin-Atalay, Rengul, Berseth, Matt, Khvatkov, Vitali, Vylegzhanin, Alexei, Kraus, Oren, Shaban, Muhammad, Rajpoot, Nasir, Awan, Ruqayya, Sirinukunwattana, Korsuk, Qaiser, Talha, Tsang, Yee-Wah, Tellez, David, Annuscheit, Jonas, Hufnagl, Peter, Valkonen, Mira, Kartasalo, Kimmo, Latonen, Leena, Ruusuvuori, Pekka, Liimatainen, Kaisa, Albarqouni, Shadi, Mungal, Bharti, George, Ami, Demirci, Stefanie, Navab, Nassir, Watanabe, Seiryo, Seno, Shigeto, Takenaka, Yoichi, Matsuda, Hideo, Ahmady Phoulady, Hady, Kovalev, Vassili, Kalinovsky, Alexander, Liauchuk, Vitali, Bueno, Gloria, Fernandez-Carrobles, M. Milagro, Serrano, Ismael, Deniz, Oscar, Racoceanu, Daniel, Venâncio, Rui

“…IMPORTANCE: Application of deep learning algorithms to whole-slide pathology images can potentially improve diagnostic accuracy and efficiency. OBJECTIVE:…”
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Reading visually embodied meaning from the brain: Visually grounded computational models decode visual-object mental imagery induced by written text by Anderson, Andrew James, Bruni, Elia, Lopopolo, Alessandro, Poesio, Massimo, Baroni, Marco

“…Embodiment theory predicts that mental imagery of object words recruits neural circuits involved in object perception. The degree of visual imagery present in…”
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From Form(s) to Meaning: Probing the Semantic Depths of Language Models Using Multisense Consistency by Ohmer, Xenia, Bruni, Elia, Hupkes, Dieuwke

“…The staggering pace with which the capabilities of large language models (LLMs) are increasing, as measured by a range of commonly used natural language…”
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The ICL Consistency Test by Weber, Lucas, Bruni, Elia, Hupkes, Dieuwke

“…Just like the previous generation of task-tuned models, large language models (LLMs) that are adapted to tasks via prompt-based methods like…”
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Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning by Weber, Lucas, Bruni, Elia, Hupkes, Dieuwke

“…Finding the best way of adapting pre-trained language models to a task is a big challenge in current NLP. Just like the previous generation of task-tuned…”
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Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses by Ohmer, Xenia, Bruni, Elia, Hupkes, Dieuwke

“…At the staggering pace with which the capabilities of large language models (LLMs) are increasing, creating future-proof evaluation sets to assess their…”
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Compositional properties of emergent languages in deep learning by Keresztury, Bence, Bruni, Elia

“…Recent findings in multi-agent deep learning systems point towards the emergence of compositional languages. These claims are often made without exact analysis…”
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Bidirectional Emergent Language in Situated Environments by Wolff, Cornelius, Mayer, Julius, Bruni, Elia, Ohmer, Xenia

“…Emergent language research has made significant progress in recent years, but still largely fails to explore how communication emerges in more complex and…”
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A Review of Nine Physics Engines for Reinforcement Learning Research by Kaup, Michael, Wolff, Cornelius, Hwang, Hyerim, Mayer, Julius, Bruni, Elia

“…We present a review of popular simulation engines and frameworks used in reinforcement learning (RL) research, aiming to guide researchers in selecting tools…”
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Interpretability of Language Models via Task Spaces by Weber, Lucas, Jumelet, Jaap, Bruni, Elia, Hupkes, Dieuwke

“…The usual way to interpret language models (LMs) is to test their performance on different benchmarks and subsequently infer their internal processes. In this…”
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Emergence of hierarchical reference systems in multi-agent communication by Ohmer, Xenia, Duda, Marko, Bruni, Elia

“…In natural language, referencing objects at different levels of specificity is a fundamental pragmatic mechanism for efficient communication in context. We…”
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Curriculum Learning with Adam: The Devil Is in the Wrong Details by Weber, Lucas, Jumelet, Jaap, Michel, Paul, Bruni, Elia, Hupkes, Dieuwke

“…Curriculum learning (CL) posits that machine learning models -- similar to humans -- may learn more efficiently from data that match their current learning…”
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The paradox of the compositionality of natural language: a neural machine translation case study by Dankers, Verna, Bruni, Elia, Hupkes, Dieuwke

“…Obtaining human-like performance in NLP is often argued to require compositional generalisation. Whether neural networks exhibit this ability is usually…”
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Generalizing Emergent Communication by Unger, Thomas A, Bruni, Elia

“…We converted the recently developed BabyAI grid world platform to a sender/receiver setup in order to test the hypothesis that established deep reinforcement…”
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GRASP: A novel benchmark for evaluating language GRounding And Situated Physics understanding in multimodal language models by Jassim, Serwan, Holubar, Mario, Richter, Annika, Wolff, Cornelius, Ohmer, Xenia, Bruni, Elia

“…This paper presents GRASP, a novel benchmark to evaluate the language grounding and physical understanding capabilities of video-based multimodal large…”
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Co-evolution of language and agents in referential games by Dagan, Gautier, Hupkes, Dieuwke, Bruni, Elia

“…Referential games offer a grounded learning environment for neural agents which accounts for the fact that language is functionally used to communicate…”
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