Papers
11,015 papers found
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
Sai Praneeth Karimireddy, Lie He, Martin Jaggi
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals
Cédric Rommel, Thomas Moreau, Joseph Paillard et al.
Can an Image Classifier Suffice For Action Recognition?
Quanfu Fan, Chun-Fu Chen, Rameswar Panda
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
Matthew Farrell, Blake Bordelon, Shubhendu Trivedi et al.
Capturing Structural Locality in Non-parametric Language Models
Frank F. Xu, Junxian He, Graham Neubig et al.
Case-based reasoning for better generalization in textual reinforcement learning
Mattia Atzeni, Shehzaad Zuzar Dhuliawala, Keerthiram Murugesan et al.
Causal Contextual Bandits with Targeted Interventions
Chandrasekar Subramanian, Balaraman Ravindran
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
Tongkun Xu, Weihua Chen, Pichao WANG et al.
Certified Robustness for Deep Equilibrium Models via Interval Bound Propagation
Colin Wei, J Zico Kolter
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
Yifei Wang, Qi Zhang, Yisen Wang et al.
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization
Yi Tay, Vinh Q. Tran, Sebastian Ruder et al.
Chemical-Reaction-Aware Molecule Representation Learning
Hongwei Wang, Weijiang Li, Xiaomeng Jin et al.
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Max Morrison, Rithesh Kumar, Kundan Kumar et al.
Churn Reduction via Distillation
Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri et al.
CKConv: Continuous Kernel Convolution For Sequential Data
David W. Romero, Anna Kuzina, Erik J Bekkers et al.
Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurring
Seungjun Nah, Sanghyun Son, Jaerin Lee et al.
CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability
Martin Mundt, Steven Lang, Quentin Delfosse et al.
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods
Victor Schmidt, Alexandra Luccioni, Mélisande Teng et al.
Closed-form Sample Probing for Learning Generative Models in Zero-shot Learning
Samet Cetin, Orhun Buğra Baran, Ramazan Gokberk Cinbis
CoBERL: Contrastive BERT for Reinforcement Learning
Andrea Banino, Adria Puigdomenech Badia, Jacob C Walker et al.
CodeTrek: Flexible Modeling of Code using an Extensible Relational Representation
Pardis Pashakhanloo, Aaditya Naik, Yuepeng Wang et al.
Coherence-based Label Propagation over Time Series for Accelerated Active Learning
Yooju Shin, Susik Yoon, Sundong Kim et al.
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
Wenqing Zheng, Edward W Huang, Nikhil Rao et al.
Collapse by Conditioning: Training Class-conditional GANs with Limited Data
Mohamad Shahbazi, Martin Danelljan, Danda Pani Paudel et al.