Papers
Fri 22 Apr 2022
152 papers
- The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human ModelsOffline RL and imitation learning from data → Inverse reinforcement learning
- Sparsely-gated Mixture-of-Expert Layers for CNN InterpretabilityMixture-of-experts → Vision mixture-of-experts
- Non-Uniformly Terminating Chase: Size and ComplexityLLM reasoning → Reasoning benchmarks and evaluation
- Rethinking Offensive Text Detection as a Multi-Hop Reasoning ProblemLLM reasoning → Reasoning benchmarks and evaluation
- Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question AnsweringLLM reasoning → Multimodal reasoning
- Reduction of detection limit and quantification uncertainty due to interferent by neural classification with abstention
- Data Distributional Properties Drive Emergent In-Context Learning in Transformers
- Deep Learning: From Basics to Building Deep Neural Networks with Python
- Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China
- A Theory of Natural Intelligence
- Federated Learning: Balancing the Thin Line Between Data Intelligence and Privacy
- Causal Analysis of Generic Time Series Data Applied for Market Prediction
- Data-Efficient Backdoor Attacks
- A Computational Theory of Learning Flexible Reward-Seeking Behavior with Place Cells
- Adaptive Online Value Function Approximation with Wavelets
- A Closer Look at Personalization in Federated Image Classification
- Dynamic Ensemble Bayesian Filter for Robust Control of a Human Brain-machine Interface
- Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation
- A benchmark dataset for deep learning-based airplane detection: HRPlanes
- Towards Privacy-Preserving Neural Architecture Search
- FPGA-based AI Smart NICs for Scalable Distributed AI Training Systems
- Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification
- Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models
- Unified Pretraining Framework for Document Understanding
- A Multi-level Alignment Training Scheme for Video-and-Language Grounding
- Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion
- A Tale of Two Models: Constructing Evasive Attacks on Edge Models
- MCSE: Multimodal Contrastive Learning of Sentence Embeddings
- SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation
- Revealing Occlusions with 4D Neural Fields
- Error-in-variables modelling for operator learning
- Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification
- Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod
- Comparative Study of Machine Learning Test Case Prioritization for Continuous Integration Testing
- Locally Aggregated Feature Attribution on Natural Language Model Understanding
- Generative Sampling in Bundle Tractography using Autoencoders (GESTA)
- Capturing the Denoising Effect of PCA via Compression Ratio
- ChapterBreak: A Challenge Dataset for Long-Range Language Models
- Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation With Minimal Computational Complexity
- Identity Preserving Loss for Learned Image Compression
- New Core-Guided and Hitting Set Algorithms for Multi-Objective Combinatorial Optimization
- Exploiting Session Information in BERT-based Session-aware Sequential Recommendation
- Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation
- Metric Learning and Adaptive Boundary for Out-of-Domain Detection
- Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging
- Detecting early signs of depression in the conversational domain: The role of transfer learning in low-resource scenarios
- How Sampling Impacts the Robustness of Stochastic Neural Networks
- Federated Learning Enables Big Data for Rare Cancer Boundary Detection
- Learning for Spatial Branching: An Algorithm Selection Approach
- Memory Bounds for Continual Learning
- Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances
- How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign
- Convergence of the Riemannian Langevin Algorithm
- Reward Reports for Reinforcement Learning
- A Vocabulary-Free Multilingual Neural Tokenizer for End-to-End Task Learning
- "Public(s)-in-the-Loop": Facilitating Deliberation of Algorithmic Decisions in Contentious Public Policy Domains
- Learning to Scaffold: Optimizing Model Explanations for Teaching
- A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity
- Revise and Resubmit: An Intertextual Model of Text-based Collaboration in Peer Review
- Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection
- MNL-Bandits under Inventory and Limited Switches Constraints
- On Feature Learning in Neural Networks with Global Convergence Guarantees
- Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
- Constructing dynamic residential energy lifestyles using Latent Dirichlet Allocation
- Tag-Based Attention Guided Bottom-Up Approach for Video Instance Segmentation
- Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation
- iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition
- FaithDial: A Faithful Benchmark for Information-Seeking Dialogue
- PU-EVA: An Edge Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling
- E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR
- Leveraging Deepfakes to Close the Domain Gap between Real and Synthetic Images in Facial Capture Pipelines
- Embracing AWKWARD! Real-time Adjustment of Reactive Plans Using Social Norms
- Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition
- Pathways through Conspiracy: The Evolution of Conspiracy Radicalization through Engagement in Online Conspiracy Discussions
- Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI
- A Summary of the ALQAC 2021 Competition
- Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding
- Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations
- EmbedTrack -- Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths
- Tweets2Stance: Users stance detection exploiting Zero-Shot Learning Algorithms on Tweets
- SUES-200: A Multi-height Multi-scene Cross-view Image Benchmark Across Drone and Satellite
- Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation
- Quantum Semi-Supervised Kernel Learning
- Universum-inspired Supervised Contrastive Learning
- Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition
- Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds
- TASAC: a twin-actor reinforcement learning framework with stochastic policy for batch process control
- Improving tracking with a tracklet associator
- Unknown Face Presentation Attack Detection via Localised Learning of Multiple Kernels
- Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention
- Risk Awareness in HTN Planning
- DFAM-DETR: Deformable feature based attention mechanism DETR on slender object detection
- 3D pride without 2D prejudice: Bias-controlled multi-level generative models for structure-based ligand design
- OPerA: Object-Centric Performance Analysis
- Exposure Correction Model to Enhance Image Quality
- Log-based Sparse Nonnegative Matrix Factorization for Data Representation
- Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation
- MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering
- Autoregressive Search Engines: Generating Substrings as Document Identifiers
- Learning Functional Distributional Semantics with Visual Data
All 152
- Out-of-Domain Evaluation of Finnish Dependency Parsing
- Real-time HOG+SVM based object detection using SoC FPGA for a UHD video stream
- Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks
- Modelling graph dynamics in fraud detection with "Attention"
- Federated Learning via Inexact ADMM
- Enhancing the Transferability via Feature-Momentum Adversarial Attack
- Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors
- Spacing Loss for Discovering Novel Categories
- LibriS2S: A German-English Speech-to-Speech Translation Corpus
- SalesBot: Transitioning from Chit-Chat to Task-Oriented Dialogues
- Emergent Communication for Understanding Human Language Evolution: What's Missing?
- A Note on the Regularity of Images Generated by Convolutional Neural Networks
- Efficient Training of Neural Transducer for Speech Recognition
- Data Clustering as an Emergent Consensus of Autonomous Agents
- Fused Audio Instance and Representation for Respiratory Disease Detection
- Lossy compression of matrices by black-box optimisation of mixed integer nonlinear programming
- A piece-wise constant approximation for non-conjugate Gaussian Process models
- Development of an algorithm for medical image segmentation of bone tissue in interaction with metallic implants
- Sparse and Dense Approaches for the Full-rank Retrieval of Responses for Dialogues
- KALA: Knowledge-Augmented Language Model Adaptation
- JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction
- Depth Pruning with Auxiliary Networks for TinyML
- Zero and Few-shot Learning for Author Profiling
- Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs
- Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference
- Sharper Utility Bounds for Differentially Private Models
- Alleviating Representational Shift for Continual Fine-tuning
- Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization
- End-to-end symbolic regression with transformers
- Multi-view Information Bottleneck Without Variational Approximation
- Exploring Hidden Semantics in Neural Networks with Symbolic Regression
- Few-Shot Object Detection with Proposal Balance Refinement
- Taygete at SemEval-2022 Task 4: RoBERTa based models for detecting Patronising and Condescending Language
- MIPR:Automatic Annotation of Medical Images with Pixel Rearrangement
- Keypoint based Sign Language Translation without Glosses
- Towards Multi-Turn Empathetic Dialogs with Positive Emotion Elicitation
- Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model
- Active Domain-Invariant Self-Localization Using Ego-Centric and World-Centric Maps
- Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks
- Adversarial Estimators
- Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network
- SE-GAN: Skeleton Enhanced GAN-based Model for Brush Handwriting Font Generation
- NLP Based Anomaly Detection for Categorical Time Series
- Recurrent Affine Transformation for Text-to-image Synthesis
- Finite-Time Accuracy of Temporal-Difference Learning Under Schur-Stable Recursions
- Learning Dynamic View Synthesis With Few RGBD Cameras
- Global Mapping of Gene/Protein Interactions in PubMed Abstracts: A Framework and an Experiment with P53 Interactions
- Gene Function Prediction with Gene Interaction Networks: A Context Graph Kernel Approach
- Neural Contrastive Clustering: Fully Unsupervised Bias Reduction for Sentiment Classification
- Towards Involving End-users in Interactive Human-in-the-loop AI Fairness
- WaBERT: A Low-resource End-to-end Model for Spoken Language Understanding and Speech-to-BERT Alignment
- SCOPE: Safe Exploration for Dynamic Computer Systems Optimization