Papers
Sun 1 Jan 2023
63 papers
- Chatbots as Problem Solvers: Playing Twenty Questions with Role ReversalsLLM reasoning → Reasoning benchmarks and evaluation
- Mutual Information Regularization for Vertical Federated LearningLLM safety and security → Federated unlearning and poisoning
- Trojaning semi-supervised learning model via poisoning wild images on the webLLM safety and security → Backdoor and data poisoning attacks
- Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift QuantificationDiffusion models → Medical imaging and segmentation
- FedICT: Federated Multi-task Distillation for Multi-access Edge ComputingKnowledge distillation → Federated, robust and private distillation
- Second Thoughts are Best: Learning to Re-Align With Human Values from Text EditsLLM reasoning → Reinforcement learning for reasoning +1
- Unleashing the Power of Shared Label Structures for Human Activity Recognition
- Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning
- ExploreADV: Towards exploratory attack for Neural Networks
- A Multi-Source Information Learning Framework for Airbnb Price Prediction
- Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning
- NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants
- Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework
- Information Transfer Rate in BCIs: Towards Tightly Integrated Symbiosis
- The Design Principle of Blockchain: An Initiative for the SoK of SoKs
- A Sequential Quadratic Programming Method with High Probability Complexity Bounds for Nonlinear Equality Constrained Stochastic Optimization
- A Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data
- ReSQueing Parallel and Private Stochastic Convex Optimization
- Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robot Learning
- Unsupervised Acoustic Scene Mapping Based on Acoustic Features and Dimensionality Reduction
- Image To Tree with Recursive Prompting
- Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data
- Hierarchical Explanations for Video Action Recognition
- Optimization of Image Transmission in a Cooperative Semantic Communication Networks
- Integrating Semantic Information into Sketchy Reading Module of Retro-Reader for Vietnamese Machine Reading Comprehension
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
- GoogLe2Net: Going Transverse with Convolutions
- Leveraging Semantic Representations Combined with Contextual Word Representations for Recognizing Textual Entailment in Vietnamese
- Is word segmentation necessary for Vietnamese sentiment classification?
- Detachable Novel Views Synthesis of Dynamic Scenes Using Distribution-Driven Neural Radiance Fields
- MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs
- Curvature regularization for Non-line-of-sight Imaging from Under-sampled Data
- Semantic Operator Prediction and Applications
- Inflected Forms Are Redundant in Question Generation Models
- CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation
- Deep Learning Technique for Human Parsing: A Survey and Outlook
- A principled distributional approach to trajectory similarity measurement
- PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs
- Correlation Clustering Algorithm for Dynamic Complete Signed Graphs: An Index-based Approach
- Discriminative Radial Domain Adaptation
- Ithaca. A Tool for Integrating Fuzzy Logic in Unity
- Optimizing Readability Using Genetic Algorithms
- Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignment
- SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation
- Generalizable Black-Box Adversarial Attack with Meta Learning
- Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin
- Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation
- A Functional approach for Two Way Dimension Reduction in Time Series
- Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation
- Towards Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty
- An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects
- MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction
- Semidefinite programming on population clustering: a global analysis
- Pruning Before Training May Improve Generalization, Provably
- Efficient On-device Training via Gradient Filtering
- Internet of Things: Digital Footprints Carry A Device Identity
- Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK
- Yuille-Poggio's Flow and Global Minimizer of Polynomials through Convexification by Heat Evolution
- Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques
- Relevance Classification of Flood-related Twitter Posts via Multiple Transformers
- Causal Deep Learning
- Stellar Karaoke: deep blind separation of terrestrial atmospheric effects out of stellar spectra by velocity whitening
- eVAE: Evolutionary Variational Autoencoder