Papers
Sun 27 Mar 2022
82 papers
- Single-Stream Multi-Level Alignment for Vision-Language PretrainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Diagonal State Spaces are as Effective as Structured State SpacesState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Design and Development of Rule-based open-domain Question-Answering System on SQuAD v2.0 Dataset
- Improving The Diagnosis of Thyroid Cancer by Machine Learning and Clinical Data
- Exploring Body Texture from mmW Images for Person Recognition
- A Dataset for Speech Emotion Recognition in Greek Theatrical Plays
- Error Correction Code Transformer
- Bunched LPCNet2: Efficient Neural Vocoders Covering Devices from Cloud to Edge
- Mugs: A Multi-Granular Self-Supervised Learning Framework
- iPLAN: Interactive and Procedural Layout Planning
- Abstract argumentation and answer set programming: two faces of Nelson's logic
- UV Volumes for Real-time Rendering of Editable Free-view Human Performance
- Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators
- Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network
- Towards physiology-informed data augmentation for EEG-based BCIs
- Towards Domain Generalization in Object Detection
- Velocity continuation with Fourier neural operators for accelerated uncertainty quantification
- Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions
- Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection
- Algorithmic support of a personal virtual assistant for automating the processing of client requests
- MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering
- CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning
- Thin-Plate Spline Motion Model for Image Animation
- piRank: A Probabilistic Intent Based Ranking Framework for Facebook Search
- Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
- Physics Guided Deep Learning for Generative Design of Crystal Materials with Symmetry Constraints
- Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection
- MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation
- Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks
- LibMTL: A Python Library for Multi-Task Learning
- Deep Hierarchical Semantic Segmentation
- Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning
- SuperMVS: Non-Uniform Cost Volume For High-Resolution Multi-View Stereo
- On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks
- Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation
- PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition
- Blind Source Separation for Mixture of Sinusoids with Near-Linear Computational Complexity
- MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization
- Adaptive Frequency Learning in Two-branch Face Forgery Detection
- Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers
- DeepDPM: Deep Clustering With an Unknown Number of Clusters
- Temporal Transductive Inference for Few-Shot Video Object Segmentation
- CGUA: Context-Guided and Unpaired-Assisted Weakly Supervised Person Search
- Adversarial Representation Sharing: A Quantitative and Secure Collaborative Learning Framework
- Benchmarking Algorithms for Automatic License Plate Recognition
- Learning Graph Regularisation for Guided Super-Resolution
- Video Polyp Segmentation: A Deep Learning Perspective
- Example-based Hypernetworks for Out-of-Distribution Generalization
- Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBM
- Discovering Human-Object Interaction Concepts via Self-Compositional Learning
- Optimizing Airborne Wind Energy with Reinforcement Learning
- bitsa_nlp@LT-EDI-ACL2022: Leveraging Pretrained Language Models for Detecting Homophobia and Transphobia in Social Media Comments
- A Survey on Aspect-Based Sentiment Classification
- A Unified Study of Machine Learning Explanation Evaluation Metrics
- A General Survey on Attention Mechanisms in Deep Learning
- Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs with Language Structures via Dependency Relationships
- Image quality assessment for machine learning tasks using meta-reinforcement learning
- BARCOR: Towards A Unified Framework for Conversational Recommendation Systems
- End-to-End Active Speaker Detection
- Audio-Adaptive Activity Recognition Across Video Domains
- Causality Inspired Representation Learning for Domain Generalization
- OneLabeler: A Flexible System for Building Data Labeling Tools
- Identifying Peer Influence in Therapeutic Communities Adjusting for Latent Homophily
- Listen, Adapt, Better WER: Source-free Single-utterance Test-time Adaptation for Automatic Speech Recognition
- How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?
- Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution
- Knowledge Mining with Scene Text for Fine-Grained Recognition
- DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation
- Towards Discriminative Representation: Multi-view Trajectory Contrastive Learning for Online Multi-object Tracking
- Text Adversarial Purification as Defense against Adversarial Attacks
- Denoising Likelihood Score Matching for Conditional Score-based Data Generation
- Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison
- A Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning
- Long-Tailed Recognition via Weight Balancing
- HINT: Hierarchical Neuron Concept Explainer
- How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
- Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems
- Deep Polarimetric HDR Reconstruction
- mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations
- Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-Centric Summarization
- RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution
- Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices