Papers
Sun 29 May 2022
80 papers
- Generalizing Multimodal Pre-training into Multilingual via Language AcquisitionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Decoupling Knowledge from Memorization: Retrieval-augmented Prompt LearningRetrieval-augmented generation → Generation and context integration
- Evaluating Automated Driving Planner Robustness against Adversarial InfluenceEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- TAR: Neural Logical Reasoning across TBox and ABoxLLM reasoning → Reasoning benchmarks and evaluation
- Urdu News Article Recommendation Model using Natural Language Processing Techniques
- Exploiting Transliterated Words for Finding Similarity in Inter-Language News Articles using Machine Learning
- Context-based Virtual Adversarial Training for Text Classification with Noisy Labels
- BN-HTRd: A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR) and Line Segmentation
- Intelligent analysis of EEG signals to assess consumer decisions: A Study on Neuromarketing
- Tackling Multiple Tasks with One Single Learning Framework
- CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
- Mixture GAN For Modulation Classification Resiliency Against Adversarial Attacks
- Mean Field inference of CRFs based on GAT
- Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret
- COVID-19 Literature Mining and Retrieval using Text Mining Approaches
- Bayes Classification using an approximation to the Joint Probability Distribution of the Attributes
- TransforMAP: Transformer for Memory Access Prediction
- An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge
- Unfooling Perturbation-Based Post Hoc Explainers
- UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny Identification
- 6N-DoF Pose Tracking for Tensegrity Robots
- Modeling Disagreement in Automatic Data Labelling for Semi-Supervised Learning in Clinical Natural Language Processing
- Radial Spike and Slab Bayesian Neural Networks for Sparse Data in Ransomware Attacks
- EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction
- A Framework for Generating Informative Benchmark Instances
- A Generative Adversarial Network-based Selective Ensemble Characteristic-to-Expression Synthesis (SE-CTES) Approach and Its Applications in Healthcare
- Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition
- Stochastic Zeroth Order Gradient and Hessian Estimators: Variance Reduction and Refined Bias Bounds
- L3Cube-MahaNLP: Marathi Natural Language Processing Datasets, Models, and Library
- CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI
- What are People Talking about in #BlackLivesMatter and #StopAsianHate? Exploring and Categorizing Twitter Topics Emerging in Online Social Movements through the Latent Dirichlet Allocation Model
- Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects
- Learning Security Strategies through Game Play and Optimal Stopping
- VD-PCR: Improving Visual Dialog with Pronoun Coreference Resolution
- Generalization bounds and algorithms for estimating conditional average treatment effect of dosage
- On the Robustness of Safe Reinforcement Learning under Observational Perturbations
- CoNT: Contrastive Neural Text Generation
- Saliency Map Based Data Augmentation
- The impact of memory on learning sequence-to-sequence tasks
- Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection
- Heterogeneous Data-Centric Architectures for Modern Data-Intensive Applications: Case Studies in Machine Learning and Databases
- SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models
- Glance to Count: Learning to Rank with Anchors for Weakly-supervised Crowd Counting
- COFS: Controllable Furniture layout Synthesis
- Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation
- Matching recovery threshold for correlated random graphs
- Speaker Identification using Speech Recognition
- Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning
- Perceiving the Invisible: Proposal-Free Amodal Panoptic Segmentation
- Anchor Prediction: A Topic Modeling Approach
- Physical Activation Functions (PAFs): An Approach for More Efficient Induction of Physics into Physics-Informed Neural Networks (PINNs)
- Superclass Adversarial Attack
- Continuous Generative Neural Networks: A Wavelet-Based Architecture in Function Spaces
- Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution Data
- SKFlow: Learning Optical Flow with Super Kernels
- IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
- Graph Structure Based Data Augmentation Method
- A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension
- Do Residual Neural Networks discretize Neural Ordinary Differential Equations?
- A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks
- Revisiting the Importance of Amplifying Bias for Debiasing
- Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
- GBC: An Efficient and Adaptive Clustering Algorithm Based on Granular-Ball
- Independent and Decentralized Learning in Markov Potential Games
- Masked Distillation with Receptive Tokens
- An unsupervised, open-source workflow for 2D and 3D building mapping from airborne LiDAR data
- Learning Locality and Isotropy in Dialogue Modeling
- 3D-C2FT: Coarse-to-fine Transformer for Multi-view 3D Reconstruction
- Feature-Aligned Video Raindrop Removal with Temporal Constraints
- ComplexGen: CAD Reconstruction by B-Rep Chain Complex Generation
- No-regret Learning in Repeated First-Price Auctions with Budget Constraints
- Provable Benefits of Representational Transfer in Reinforcement Learning
- MiniDisc: Minimal Distillation Schedule for Language Model Compression
- Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR)
- ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation
- Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning
- Long-Tailed Learning Requires Feature Learning
- Machine Learning for Microcontroller-Class Hardware: A Review
- Image Super-resolution with An Enhanced Group Convolutional Neural Network
- The Missing Invariance Principle Found -- the Reciprocal Twin of Invariant Risk Minimization