Search results for "representations"

Hits ?▲	Authors	Title	Venue	Year	Link
13	Xiaoling Hu 0002, Dimitris Samaras, Chao Chen 0012	Learning Probabilistic Topological Representations Using Discrete Morse Theory.	ICLR	2023	DBLP BibTeX RDF
13	Nan Shao, Zefan Cai, Hanwei Xu, Chonghua Liao, Yanan Zheng, Zhilin Yang	Compositional Task Representations for Large Language Models.	ICLR	2023	DBLP BibTeX RDF
13	Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer	Context-enriched molecule representations improve few-shot drug discovery.	ICLR	2023	DBLP BibTeX RDF
13	Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano	Deep Learning on Implicit Neural Representations of Shapes.	ICLR	2023	DBLP BibTeX RDF
13	Jianshu Chen	Learning Language Representations with Logical Inductive Bias.	ICLR	2023	DBLP BibTeX RDF
13	Kha Pham, Hung Le, Man Ngo, Truyen Tran 0001	Improving Out-of-distribution Generalization with Indirection Representations.	ICLR	2023	DBLP BibTeX RDF
13	Will Dorrell, Peter E. Latham, Tim E. J. Behrens, James C. R. Whittington	Actionable Neural Representations: Grid Cells from Minimal Constraints.	ICLR	2023	DBLP BibTeX RDF
13	Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht	Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning.	ICLR	2023	DBLP BibTeX RDF
13	Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou	Learning Fair Graph Representations via Automated Data Augmentations.	ICLR	2023	DBLP BibTeX RDF
13	João Monteiro 0002, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez 0001	Constraining Representations Yields Models That Know What They Don't Know.	ICLR	2023	DBLP BibTeX RDF
13	Luca Franco, Paolo Mandica, Bharti Munjal, Fabio Galasso	Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations.	ICLR	2023	DBLP BibTeX RDF
13	Prince Osei Aboagye, Yan Zheng 0001, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang 0047, Wei Zhang 0189, Jeff M. Phillips	Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization.	ICLR	2023	DBLP BibTeX RDF
13	Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen 0001, Chenhao Tan	Learning Human-Compatible Representations for Case-Based Decision Support.	ICLR	2023	DBLP BibTeX RDF
13	Giung Nam, Sunguk Jang, Juho Lee 0001	Decoupled Training for Long-Tailed Classification With Stochastic Representations.	ICLR	2023	DBLP BibTeX RDF
13	Anne Harrington, Vasha DuTell, Ayush Tewari, Mark Hamilton, Simon Stent, Ruth Rosenholtz, William T. Freeman	Exploring perceptual straightness in learned visual representations.	ICLR	2023	DBLP BibTeX RDF
13	Kenneth Li 0002, Aspen K. Hopkins, David Bau, Fernanda B. Viégas, Hanspeter Pfister, Martin Wattenberg	Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task.	ICLR	2023	DBLP BibTeX RDF
13	Chaitanya Murti, Tanay Narshana, Chiranjib Bhattacharyya	TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning.	ICLR	2023	DBLP BibTeX RDF
13	Zhenmei Shi, Jiefeng Chen 0001, Kunyang Li, Jayaram Raghuram, Xi Wu 0001, Yingyu Liang, Somesh Jha	The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning.	ICLR	2023	DBLP BibTeX RDF
13	Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang	Multivariate Time-series Imputation with Disentangled Temporal Representations.	ICLR	2023	DBLP BibTeX RDF
13	Hao Cheng 0012, Zhaowei Zhu, Xing Sun, Yang Liu 0018	Mitigating Memorization of Noisy Labels via Regularization between Representations.	ICLR	2023	DBLP BibTeX RDF
13	Alexandros Haliassos, Pingchuan Ma 0001, Rodrigo Mira, Stavros Petridis, Maja Pantic	Jointly Learning Visual and Auditory Speech Representations from Raw Data.	ICLR	2023	DBLP BibTeX RDF
13	Joel Dapello, Kohitij Kar, Martin Schrimpf, Robert Baldwin Geary, Michael Ferguson, David Daniel Cox, James J. DiCarlo	Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness.	ICLR	2023	DBLP BibTeX RDF
13	Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari	Continuous PDE Dynamics Forecasting with Implicit Neural Representations.	ICLR	2023	DBLP BibTeX RDF
13	Limei Wang, Haoran Liu, Yi Liu 0059, Jerry Kurtin, Shuiwang Ji	Learning Hierarchical Protein Representations via Complete 3D Graph Networks.	ICLR	2023	DBLP BibTeX RDF
13	Zhijie Nie, Richong Zhang, Yongyi Mao	On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations.	ICLR	2023	DBLP BibTeX RDF
13	Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith	Human alignment of neural network representations.	ICLR	2023	DBLP BibTeX RDF
13	Felix Leeb, Giulia Lanzillotta, Yashas Annadani, Michel Besserve, Stefan Bauer, Bernhard Schölkopf	Structure by Architecture: Structured Representations without Regularization.	ICLR	2023	DBLP BibTeX RDF
13	Ziyu Jiang, Yinpeng Chen, Mengchen Liu, Dongdong Chen 0001, Xiyang Dai, Lu Yuan, Zicheng Liu 0001, Zhangyang Wang	Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations.	ICLR	2023	DBLP BibTeX RDF
13	Marc Szafraniec, Baptiste Rozière, Hugh Leather, Patrick Labatut, François Charton, Gabriel Synnaeve	Code Translation with Compiler Representations.	ICLR	2023	DBLP BibTeX RDF
13	Wenhao Zhan, Masatoshi Uehara, Wen Sun 0002, Jason D. Lee	PAC Reinforcement Learning for Predictive State Representations.	ICLR	2023	DBLP BibTeX RDF
13	Peter Yichen Chen, Jinxu Xiang, Dong Heon Cho, Yue Chang, G. A. Pershing, Henrique Teles Maia, Maurizio M. Chiaramonte, Kevin T. Carlberg, Eitan Grinspun	CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations.	ICLR	2023	DBLP BibTeX RDF
13	Tuomas P. Oikarinen, Tsui-Wei Weng	CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks.	ICLR	2023	DBLP BibTeX RDF
13	Siqi Zeng, Remi Tachet des Combes, Han Zhao 0002	Learning Structured Representations by Embedding Class Hierarchy.	ICLR	2023	DBLP BibTeX RDF
13	Zongyu Guo, Cuiling Lan, Zhizheng Zhang 0004, Yan Lu, Zhibo Chen 0001	Versatile Neural Processes for Learning Implicit Neural Representations.	ICLR	2023	DBLP BibTeX RDF
13	Elena Eggert, Adam Takacs, Alexander Münchau, Christian Beste	On the Role of Memory Representations in Action Control: Neurophysiological Decoding Reveals the Reactivation of Integrated Stimulus-Response Feature Representations.	J. Cogn. Neurosci.	2022	DBLP DOI BibTeX RDF
13	Jannis Born, Tien Huynh, Astrid Stroobants, Wendy D. Cornell, Matteo Manica	Active Site Sequence Representations of Human Kinases Outperform Full Sequence Representations for Affinity Prediction and Inhibitor Generation: 3D Effects in a 1D Model.	J. Chem. Inf. Model.	2022	DBLP DOI BibTeX RDF
13	Chong Guo, Michael J. Lee, Guillaume Leclerc, Joel Dapello, Yug Rao, Aleksander Madry, James J. DiCarlo	Adversarially trained neural representations may already be as robust as corresponding biological neural representations.	CoRR	2022	DBLP DOI BibTeX RDF
13	Bingzhi Li, Guillaume Wisniewski, Benoît Crabbé	Les représentations distribuées sont-elles vraiment distribuées ? Observations sur la localisation de l'information syntaxique dans les tâches d'accord du verbe en français (How Distributed are Distributed Representations ? An Observation on the Locality of Syntactic).	TALN-RECITAL	2022	DBLP BibTeX RDF
13	Chong Guo, Michael J. Lee, Guillaume Leclerc, Joel Dapello, Yug Rao, Aleksander Madry, James J. DiCarlo	Adversarially trained neural representations are already as robust as biological neural representations.	ICML	2022	DBLP BibTeX RDF
13	Xu Yao	Latent representations for facial images and video editing. (Représentations latentes pour l'édition d'images et de vidéos de visages).		2022	RDF
13	Farah Cherfaoui	Échantillonnage pour l'accélération des méthodes à noyaux et sélection gloutonne pour les représentations parcimonieuses. (Fast kernel methods using sampling techniques, and greedy algorithms for sparse representations).		2022	RDF
13	Han Han	Designing Representations for Digital Documents. (Conception de représentations pour les documents numériques).		2022	RDF
13	Vivien Sainte Fare Garnot	Learning Spatio-temporal Representations of Satellite Time Series for Large-scale Crop Mapping. (Apprendre des representations spatio-temporelles de series temporelles d'images satellites pour la cartographie agricole).		2022	RDF
13	Ekaterina Iakovleva	Transferring feature representations across tasks and domains. (Transfert de représentations de caractéristiques entre les tâches et les domaines).		2022	RDF
13	Benjamin Devillers	How to train your global workspace?: Evaluating and efficiently learning multimodal representations. (Comment apprendre son espace de travail global?: Évaluer et apprendre efficacement des représentations multimodales).		2022	RDF
13	Georgios Panagopoulos	Learning Influence Representations : Methods and Applciations. (Apprentissage des représentations d'influence : méthodes et applications).		2022	RDF
13	Sarah McGuire, Shane Jackson, Tegan Emerson, Henry Kvinge	Do neural networks trained with topological features learn different internal representations?	NeurReps	2022	DBLP BibTeX RDF
13	Sunny Duan, Mikail Khona, Adrian Bertagnoli, Sarthak Chandra, Ila Fiete	See and Copy: Generation of complex compositional movements from modular and geometric RNN representations.	NeurReps	2022	DBLP BibTeX RDF
13	Noah Shutty, Casimir Wierzynski	Computing representations for Lie algebraic networks.	NeurReps	2022	DBLP BibTeX RDF
13	Matthew Farrell, Blake Bordelon, Shubhendu Trivedi, Cengiz Pehlevan	Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?	ICLR	2022	DBLP BibTeX RDF
13	Chengzhi Mao, Lu Jiang 0004, Mostafa Dehghani 0001, Carl Vondrick, Rahul Sukthankar, Irfan Essa	Discrete Representations Strengthen Vision Transformer Robustness.	ICLR	2022	DBLP BibTeX RDF
13	Michael Rotman, Amit Dekel, Shir Gur, Yaron Oz, Lior Wolf	Unsupervised Disentanglement with Tensor Product Representations on the Torus.	ICLR	2022	DBLP BibTeX RDF
13	Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent 0001, Yoshua Bengio, Xavier Bresson	Graph Neural Networks with Learnable Structural and Positional Representations.	ICLR	2022	DBLP BibTeX RDF
13	Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi	CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting.	ICLR	2022	DBLP BibTeX RDF
13	Arun Rajkumar, Vishnu Veerathu, Abdul Bakey Mir	A Theory of Tournament Representations.	ICLR	2022	DBLP BibTeX RDF
13	Yoann Lemesle, Masataka Sawayama, Guillermo Valle Pérez, Maxime Adolphe, Hélène Sauzéon, Pierre-Yves Oudeyer	Language-biased image classification: evaluation based on semantic representations.	ICLR	2022	DBLP BibTeX RDF
13	Keir Adams, Lagnajit Pattanaik, Connor W. Coley	Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations.	ICLR	2022	DBLP BibTeX RDF
13	Yao-Hung Hubert Tsai, Tianqin Li, Weixin Liu, Peiyuan Liao, Ruslan Salakhutdinov, Louis-Philippe Morency	Learning Weakly-supervised Contrastive Representations.	ICLR	2022	DBLP BibTeX RDF
13	Petra Poklukar, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic	Delaunay Component Analysis for Evaluation of Data Representations.	ICLR	2022	DBLP BibTeX RDF
13	Changmin Yu, Dong Li 0016, Jianye Hao, Jun Wang 0012, Neil Burgess	Learning State Representations via Retracing in Reinforcement Learning.	ICLR	2022	DBLP BibTeX RDF
13	Frederik Träuble, Andrea Dittadi, Manuel Wuthrich, Felix Widmaier, Peter Vincent Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer	The Role of Pretrained Representations for the OOD Generalization of RL Agents.	ICLR	2022	DBLP BibTeX RDF
13	Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar	Auto-Transfer: Learning to Route Transferable Representations.	ICLR	2022	DBLP BibTeX RDF
13	Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee	PF-GNN: Differentiable particle filtering based approximation of universal graph representations.	ICLR	2022	DBLP BibTeX RDF
13	Raphaël Dang-Nhu	Evaluating Disentanglement of Structured Representations.	ICLR	2022	DBLP BibTeX RDF
13	Rumen Dangovski, Li Jing 0001, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic	Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations.	ICLR	2022	DBLP BibTeX RDF
13	Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha	Learning Prototype-oriented Set Representations for Meta-Learning.	ICLR	2022	DBLP BibTeX RDF
13	Wenqing Zheng, Edward W. Huang, Nikhil Rao 0001, Sumeet Katariya, Zhangyang Wang, Karthik Subbian	Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods.	ICLR	2022	DBLP BibTeX RDF
13	Iro Laina, Yuki M. Asano, Andrea Vedaldi	Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing.	ICLR	2022	DBLP BibTeX RDF
13	James C. R. Whittington, Joseph Warren, Tim E. J. Behrens	Relating transformers to models and neural representations of the hippocampal formation.	ICLR	2022	DBLP BibTeX RDF
13	Ruicheng Xian, Heng Ji, Han Zhao 0002	Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations.	ICLR	2022	DBLP BibTeX RDF
13	Marc Aurel Vischer, Robert Tjarko Lange, Henning Sprekeler	On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning.	ICLR	2022	DBLP BibTeX RDF
13	Jianda Chen, Sinno Jialin Pan	Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities.	ICLR	2022	DBLP BibTeX RDF
13	Mikhail Galkin 0001, Etienne G. Denis, Jiapeng Wu, William L. Hamilton	NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs.	ICLR	2022	DBLP BibTeX RDF
13	Yangjun Ruan, Yann Dubois, Chris J. Maddison	Optimal Representations for Covariate Shift.	ICLR	2022	DBLP BibTeX RDF
13	Sarath Sreedharan, Utkarsh Soni, Mudit Verma, Siddharth Srivastava 0001, Subbarao Kambhampati	Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations.	ICLR	2022	DBLP BibTeX RDF
13	Rwiddhi Chakraborty, Shubhayu Das	RC2020 Report: Learning De-biased Representations with Biased Representations.	CoRR	2021	DBLP BibTeX RDF
13	Jean-Sébastien Franco	Representations for Shape and Motion in 4D Acquisition. (Représentations des formes et du mouvement pour l'acquisition 4D).		2021	RDF
13	Camille Gobert, Michel Beaudouin-Lafon	Représentations intermédiaires interactives pour la manipulation de code LaTeX: Interactive Intermediate Representations for LaTeX Code Manipulation.	IHM	2021	DBLP DOI BibTeX RDF
13	Perrine Cribier-Delande	Contexts and user modeling through disentangled representations learning. (Apprentissage de représentations démêlées pour la modélisation de contextes et d'utilisateur).		2021	RDF
13	Yacouba Kaloga	Learning attributed graphs representations. (Apprentissage de représentations de graphes attribués).		2021	RDF
13	Simon Vilmin	Algorithms on closure systems and their representations. (Algorithmes pour les systèmes de fermeture et leurs représentations).		2021	RDF
13	Marie-Julie Rakotosaona	Learning-based representations and methods for 3D shape analysis, manipulation and reconstruction. (Représentations et méthodes basées sur l'apprentissage pour l'analyse, la manipulation et la reconstruction de formes en 3D).		2021	RDF
13	Victor Bouvier	Towards Adaptive Learning with Invariant Representations. (Vers l'apprentissage adaptatif avec des représentations invariantes).		2021	RDF
13	Astrid Merckling	Unsupervised Pretraining of State Representations in a Rewardless Environment. (Pré-entraînement non Supervisé de Représentations d'État dans un Environnement sans Récompense).		2021	RDF
13	Mathilde Caron	Self-supervised learning of deep visual representations. (Apprentissage auto-supervisé de représentations visuelles avec des réseaux de neurones profonds).		2021	RDF
13	Florent Forest	Unsupervised Learning of Data Representations and Cluster Structures: Applications to Large-scale Health Monitoring of Turbofan Aircraft Engines. (Apprentissage non supervisé de représentations de données et structures de partitionnement : applications à la surveillance à grande échelle de turbofans).		2021	RDF
13	Arnaud Fanthomme	Recurrent Neural Networks models: inference, representations, and the role of regularization. (Réseaux de neurones récurrents : inférence, représentations et rôle de la régularisation).		2021	RDF
13	Gasser Elbanna, Neil Scheidwasser-Clow, Mikolaj Kegler, Pierre Beckmann, Karl El Hajal, Milos Cernak	BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping.	HEAR@NeurIPS	2021	DBLP BibTeX RDF
13	Vincent Lostanlen, Lingyao Yan, Xianyi Yang	From HEAR to GEAR: Generative Evaluation of Audio Representations.	HEAR@NeurIPS	2021	DBLP BibTeX RDF
13	Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer	Learning General Audio Representations With Large-Scale Training of Patchout Audio Transformers.	HEAR@NeurIPS	2021	DBLP BibTeX RDF
13	Tung-Yu Wu, Tsu-Yuan Hsu, Chen-An Li, Tzu-Han Lin, Hung-yi Lee	The Efficacy of Self-Supervised Speech Models for Audio Representations.	HEAR@NeurIPS	2021	DBLP BibTeX RDF
13	Thao Nguyen, Maithra Raghu, Simon Kornblith	Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth.	ICLR	2021	DBLP BibTeX RDF
13	Brandon Cui, Yinlam Chow, Mohammad Ghavamzadeh	Control-Aware Representations for Model-based Reinforcement Learning.	ICLR	2021	DBLP BibTeX RDF
13	Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy	Decoupling Global and Local Representations via Invertible Generative Flows.	ICLR	2021	DBLP BibTeX RDF
13	Amy Zhang 0001, Rowan Thomas McAllister, Roberto Calandra, Yarin Gal, Sergey Levine	Learning Invariant Representations for Reinforcement Learning without Reconstruction.	ICLR	2021	DBLP BibTeX RDF
13	Luca Weihs, Aniruddha Kembhavi, Kiana Ehsani, Sarah M. Pratt, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi	Learning Generalizable Visual Representations via Interactive Gameplay.	ICLR	2021	DBLP BibTeX RDF
13	Vinay Venkatesh Ramasesh, Ethan Dyer, Maithra Raghu	Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics.	ICLR	2021	DBLP BibTeX RDF
13	Joshua C. Chang, Patrick Fletcher, Jungmin Han, Ted L. Chang, Shashaank Vattikuti, Bart Desmet, Ayah Zirikly, Carson C. Chow	Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization.	ICLR	2021	DBLP BibTeX RDF
13	Panagiotis Kyriakis, Iordanis Fostiropoulos, Paul Bogdan	Learning Hyperbolic Representations of Topological Features.	ICLR	2021	DBLP BibTeX RDF
13	Boyuan Chen 0001, Yu Li, Sunand Raghupathi, Hod Lipson	Beyond Categorical Label Representations for Image Classification.	ICLR	2021	DBLP BibTeX RDF