Vikas Verma - RankMe

42 papers A* 8A 4Journal 22Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Can Out-of-Domain Data Help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection? WACV Amartya Bhattacharya, Debarshi Brahma, Suraj Nagaje Mahadev, Anmol Asati, Vikas Verma, Soma Biswas
2025	A	`conf`	FRAUD-Net: Fraud News Detection Using Sample Uncertainty & Domain Aware Generalized Network. WACV Devendra Patel, Vikas Verma, Shreyas Kumar Tah, Shwetabh Biswas, Soma Biswas
2025	J	`jnl`	Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2. CoRR Yuri Chervonyi, Trieu H. Trinh, Miroslav Olsák, Xiaomeng Yang, Hoang Nguyen, Marcelo Menegali, Junehyuk Jung, Vikas Verma, Quoc V. Le, Thang Luong
2025	J	`jnl`	Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2. J. Mach. Learn. Res. Yuri Chervonyi, Trieu H. Trinh, Miroslav Olsák, Xiaomeng Yang, Hoang H. Nguyen, Marcelo Menegali, Junehyuk Jung, Junsu Kim, Vikas Verma, Quoc V. Le, Thang Luong
2024	J	`jnl`	Analyzing and Classifying Malware Types on Windows Platform using an Ensemble Machine Learning Approach. Int. J. Perform. Eng. Vikas Verma, Arun Malik, Isha Batra
2023	J	`jnl`	Leveraging Out-of-Domain Data for Domain-Specific Prompt Tuning in Multi-Modal Fake News Detection. CoRR Debarshi Brahma, Amartya Bhattacharya, Suraj Nagaje Mahadev, Anmol Asati, Vikas Verma, Soma Biswas
2023	A	`conf`	MixupE: Understanding and improving Mixup from directional derivative perspective. UAI Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
2022	J	`jnl`	CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback. CoRR Alexia Jolicoeur-Martineau, Alex Lamb, Vikas Verma, Aniket Didolkar
2022	J	`jnl`	Critical Analysis of Existing Punjabi Grammar Checker and a Proposed Hybrid Framework Involving Machine Learning and Rule-Base Criteria. ACM Trans. Asian Low Resour. Lang. Inf. Process. Vikas Verma, S. K. Sharma
2022	J	`jnl`	Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy. Neural Networks Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio
2022	J	`jnl`	Interpolation consistency training for semi-supervised learning. Neural Networks Vikas Verma, Kenji Kawaguchi, Alex Lamb, Juho Kannala, Arno Solin, Yoshua Bengio, David Lopez-Paz
2022	J	`jnl`	MixupE: Understanding and Improving Mixup from Directional Derivative Perspective. CoRR Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
2022	A*	`conf`	PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks. AAAI Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar
2021	A*	`conf`	GraphMix: Improved Training of GNNs for Semi-Supervised Learning. AAAI Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang
2021	A*	`conf`	Interpolation-Based Semi-Supervised Learning for Object Detection. CVPR Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak
2021	A*	`conf`	Towards Domain-Agnostic Contrastive Learning. ICML Vikas Verma, Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le
2020	—	`—`	Algorithms for Data-Efficient Training of Deep Neural Networks. Vikas Verma
2020	A*	`conf`	InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. ICLR Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, Jian Tang
2020	J	`jnl`	Interpolation-based semi-supervised learning for object detection. CoRR Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak
2020	J	`jnl`	PatchUp: A Regularization Technique for Convolutional Neural Networks. CoRR Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar
2020	A	`conf`	SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks. WACV Alex Lamb, Sherjil Ozair, Vikas Verma, David Ha
2020	J	`jnl`	Towards Domain-Agnostic Contrastive Learning. CoRR Vikas Verma, Minh-Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le
2019	—	`conf`	Adversarial Mixup Resynthesizers. DGS@ICLR Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal
2019	J	`jnl`	Adversarial Mixup Resynthesizers. CoRR Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal
2019	J	`jnl`	GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning. CoRR Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang
2019	—	`conf`	Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy. AISec@CCS Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio
2019	J	`jnl`	Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Accuracy. CoRR Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio
2019	J	`jnl`	Interpolation Consistency Training for Semi-Supervised Learning. CoRR Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz
2019	A*	`conf`	Interpolation Consistency Training for Semi-supervised Learning. IJCAI Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz
2019	A*	`conf`	Manifold Mixup: Better Representations by Interpolating Hidden States. ICML Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz, Yoshua Bengio
2019	A*	`conf`	On Adversarial Mixup Resynthesis. NeurIPS Christopher Beckham, Sina Honari, Vikas Verma, Alex Lamb, Farnoosh Ghadiri, R. Devon Hjelm, Yoshua Bengio, Chris Pal
2019	J	`jnl`	SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks. CoRR Alex Lamb, Sherjil Ozair, Vikas Verma, David Ha
2019	J	`jnl`	Towards Understanding Generalization in Gradient-Based Meta-Learning. CoRR Simon Guiroy, Vikas Verma, Christopher J. Pal
2018	J	`jnl`	Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer. CoRR Vikas Verma, Alex Lamb, Christopher Beckham, Aaron C. Courville, Ioannis Mitliagkas, Yoshua Bengio
2018	J	`jnl`	Modularity Matters: Learning Invariant Relational Reasoning Tasks. CoRR Jason Jo, Vikas Verma, Yoshua Bengio
2018	—	`conf`	Residual Connections Encourage Iterative Inference. ICLR (Poster) Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio
2017	J	`jnl`	Residual Connections Encourage Iterative Inference. CoRR Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio
2014	J	`jnl`	Image Retrieval And Classification Using Local Feature Vectors. CoRR Vikas Verma
2005	—	`conf`	Hand Gesture Reconstruction and Animation. IICAI Vikas Verma, D. Ghosh
2004	—	`conf`	QoS Based Pricing for Web Services. WISE Workshops George Eby Mathew, Joseph Shields, Vikas Verma
1992	—	`conf`	A Fair Basis For Charge Back. Int. CMG Conference Vikas Verma, Malcolm Thurgur
1992	—	`conf`	A Meaningful Measure of Response Time for SLA. Int. CMG Conference Vikas Verma