Knowledge Matters: Importance of Prior Information for Optimization

17 January 2013

Papers citing "Knowledge Matters: Importance of Prior Information for Optimization"

50 / 60 papers shown

Title
Learning richness modulates equality reasoning in neural networks William L. Tong Cengiz Pehlevan 47 0 0 12 Mar 2025
Guiding Through Complexity: What Makes Good Supervision for Hard Math Reasoning Tasks? Xuan He Da Yin Nanyun Peng LRM 40 0 0 27 Oct 2024
The pitfalls of next-token prediction Gregor Bachmann Vaishnavh Nagarajan 39 63 0 11 Mar 2024
Linearly Constrained Weights: Reducing Activation Shift for Faster Training of Neural Networks Takuro Kutsuna LLMSV 32 1 0 08 Mar 2024
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models Yeongbin Kim Gautam Singh Junyeong Park Çağlar Gülçehre Sungjin Ahn OCL VLM 50 1 0 15 Nov 2023
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations Alexa R. Tartaglini Sheridan Feucht Michael A. Lepori Wai Keen Vong Charles Lovering Brenden M. Lake Ellie Pavlick ViT OOD 33 3 0 14 Oct 2023
A Bayesian Robust Regression Method for Corrupted Data Reconstruction Zheyi Fan Zhaohui Li Jingyan Wang Dennis K. J. Lin X. Xiong Qingpei Hu AAML 23 0 0 24 Dec 2022
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection Yu Hong Hang Dai Yong Ding 3DPC 30 71 0 14 Nov 2022
Auto-Encoder Neural Network Incorporating X-Ray Fluorescence Fundamental Parameters with Machine Learning Matthew C. Dirks David Poole 28 4 0 21 Oct 2022
Memory Classifiers: Two-stage Classification for Robustness in Machine Learning Souradeep Dutta Yahan Yang E. Bernardis Yan Sun Insup Lee OOD VLM 14 4 0 10 Jun 2022
A Review of Emerging Research Directions in Abstract Visual Reasoning Mikolaj Malkiñski Jacek Mańdziuk 34 39 0 21 Feb 2022
Knowledge Distillation with Deep Supervision Shiya Luo Defang Chen Can Wang 21 1 0 16 Feb 2022
Normalization Techniques in Training DNNs: Methodology, Analysis and Application Lei Huang Jie Qin Yi Zhou Fan Zhu Li Liu Ling Shao AI4CE 12 255 0 27 Sep 2020
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search Yong Guo Yaofo Chen Yin Zheng P. Zhao Jian Chen Junzhou Huang Mingkui Tan 27 66 0 07 Jul 2020
Relational reasoning and generalization using non-symbolic neural networks Atticus Geiger Alexandra Carstensen Michael C. Frank Michael C. Frank Christopher Potts NAI 25 20 0 14 Jun 2020
Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey Andrea Borghesi Federico Baldo M. Milano AI4CE 22 35 0 19 May 2020
Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations Iuliia Kotseruba C. Wloka Amir Rasouli John K. Tsotsos 25 19 0 13 May 2020
Towards Efficient Unconstrained Palmprint Recognition via Deep Distillation Hashing Huikai Shao Dexing Zhong Xuefeng Du 24 9 0 07 Apr 2020
DAF-NET: a saliency based weakly supervised method of dual attention fusion for fine-grained image classification Zichao Dong Jilong Wu Tingting Ren Yue Wang Meng-meng Ge 29 2 0 04 Jan 2020
Decomposable Probability-of-Success Metrics in Algorithmic Search Tyler Sam Jake Williams Abel Tadesse H. Sun George D. Montañez 20 4 0 03 Jan 2020
Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music Listening Panayu Keelawat Nattapong Thammasan M. Numao B. Kijsirikul 14 10 0 22 Oct 2019
Forced Spatial Attention for Driver Foot Activity Classification Akshay Rangesh Mohan M. Trivedi 27 7 0 27 Jul 2019
The Futility of Bias-Free Learning and Search George D. Montañez J. Hayase Julius Lauw D. Macias Akshay Trikha Julia Vendemiatti 21 14 0 13 Jul 2019
DEEP-BO for Hyperparameter Optimization of Deep Networks Hyunghun Cho Yongjin Kim Eunjung Lee Daeyoung Choi Yongjae Lee Wonjong Rhee 6 1 0 23 May 2019
Emergence of Compositional Language with Deep Generational Transmission Michael Cogswell Jiasen Lu Stefan Lee Devi Parikh Dhruv Batra 16 49 0 19 Apr 2019
Improving Fast Segmentation With Teacher-student Learning Jiafeng Xie Bing Shuai Jianfang Hu Jingyang Lin Weishi Zheng 36 95 0 19 Oct 2018
Self-Paced Learning with Adaptive Deep Visual Embeddings Vithursan Thangarasa Graham W. Taylor 3DH SSL 13 6 0 24 Jul 2018
A New Benchmark and Progress Toward Improved Weakly Supervised Learning Jason Ramapuram Russ Webb SSL 14 3 0 30 Jun 2018
Modularity Matters: Learning Invariant Relational Reasoning Tasks Jason Jo Vikas Verma Yoshua Bengio OOD 11 8 0 18 Jun 2018
Deep Layered Learning in MIR Anders Elowsson 16 4 0 18 Apr 2018
Same-different problems strain convolutional neural networks Matthew Ricci Junkyung Kim Thomas Serre OOD 22 17 0 09 Feb 2018
Combining Convolution and Recursive Neural Networks for Sentiment Analysis Vinh D. Van Thien Thai Minh-Quoc Nghiem 29 21 0 27 Jan 2018
Deep Supervision with Intermediate Concepts Chi Li M. Zia Quoc-Huy Tran Xiang Yu Gregory Hager Manmohan Chandraker 13 75 0 08 Jan 2018
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines D. Charte F. Charte S. García M. J. D. Jesus Francisco Herrera 38 256 0 04 Jan 2018
Deep Learning for Distant Speech Recognition Mirco Ravanelli 32 16 0 17 Dec 2017
Deep Epitome for Unravelling Generalized Hamming Network: A Fuzzy Logic Interpretation of Deep Learning Lixin Fan 26 3 0 15 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 889 0 11 Nov 2017
Regularization for Deep Learning: A Taxonomy J. Kukačka Vladimir Golkov Daniel Cremers 38 335 0 29 Oct 2017
General AI Challenge - Round One: Gradual Learning Jan Feyereisl Matej Nikl Martin Poliak Martin Stránský M. Vlasak CLL AI4CE 11 1 0 17 Aug 2017
A Deep Multimodal Approach for Cold-start Music Recommendation Sergio Oramas Oriol Nieto Mohamed Sordo Xavier Serra 8 96 0 29 Jun 2017
Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks Shannon Fenn P. Moscato 18 2 0 15 Jun 2017
Diminishing Batch Normalization Yintai Ma Diego Klabjan 33 15 0 22 May 2017
Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences Zhiyuan Shi Tae-Kyun Kim 14 80 0 28 Mar 2017
Batch-normalized joint training for DNN-based distant speech recognition Mirco Ravanelli Philemon Brakel M. Omologo Yoshua Bengio 15 35 0 24 Mar 2017
Failures of Gradient-Based Deep Learning Shai Shalev-Shwartz Ohad Shamir Shaked Shammah ODL UQCV 34 198 0 23 Mar 2017
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions Emma Strubell Pat Verga David Belanger Andrew McCallum 30 390 0 07 Feb 2017
A Framework for Searching for General Artificial Intelligence Marek Rosa Jan Feyereisl The GoodAI Collective AI4CE 38 19 0 02 Nov 2016
Mollifying Networks Çağlar Gülçehre Marcin Moczulski Francesco Visin Yoshua Bengio 23 46 0 17 Aug 2016
Learning Abstract Classes using Deep Learning Sebastian Stabinger A. Rodríguez-Sánchez J. Piater 13 2 0 17 Jun 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 109 43,034 0 11 Feb 2015