Papers
Thu 1 Sep 2022
122 papers
- In conversation with Artificial Intelligence: aligning language models with human valuesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Transformers are Sample-Efficient World ModelsWorld models → Latent dynamics models and model-based RL
- A New Knowledge Distillation Network for Incremental Few-Shot Surface Defect DetectionKnowledge distillation → Detection and dense prediction distillation
- FLAME: Free-form Language-based Motion Synthesis & EditingDiffusion models → Video generation
- MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization
- Towards Multidimensional Textural Perception and Classification Through Whisker
- Topic Detection in Continuous Sign Language Videos
- SkeletonMAE: Spatial-Temporal Masked Autoencoders for Self-supervised Skeleton Action Recognition
- YouTube and Science: Models for Research Impact
- EvolvingBehavior: Towards Co-Creative Evolution of Behavior Trees for Game NPCs
- On Quantizing Implicit Neural Representations
- Black-box optimization for integer-variable problems using Ising machines and factorization machines
- Intrinsic fluctuations of reinforcement learning promote cooperation
- CASPER: Cognitive Architecture for Social Perception and Engagement in Robots
- Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites
- Johnson-Lindenstrauss embeddings for noisy vectors -- taking advantage of the noise
- MIME: Minority Inclusion for Majority Group Enhancement of AI Performance
- A Low-Cost Multi-Agent System for Physical Security in Smart Buildings
- Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms
- HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images
- Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite Imagery
- Learning correspondences of cardiac motion from images using biomechanics-informed modeling
- A Technique to Create Weaker Abstract Board Game Agents via Reinforcement Learning
- Exploring Gradient-based Multi-directional Controls in GANs
- Making Intelligence: Ethical Values in IQ and ML Benchmarks
- Nonlinear desirability theory
- Zero-Shot Multi-Modal Artist-Controlled Retrieval and Exploration of 3D Object Sets
- Exploring traditional machine learning for identification of pathological auscultations
- Deep reinforcement learning for quantum multiparameter estimation
- Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax
- Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting
- Effective Class-Imbalance learning based on SMOTE and Convolutional Neural Networks
- Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution
- Cross-Spectral Neural Radiance Fields
- Visual Prompting via Image Inpainting
- Lip-to-Speech Synthesis for Arbitrary Speakers in the Wild
- Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation
- Optimising 2D Pose Representation: Improve Accuracy, Stability and Generalisability Within Unsupervised 2D-3D Human Pose Estimation
- Fair mapping
- Learning with Differentiable Algorithms
- ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets
- Heterogeneous Graph Tree Networks
- Sparse Attention Acceleration with Synergistic In-Memory Pruning and On-Chip Recomputation
- Why Do Neural Language Models Still Need Commonsense Knowledge to Handle Semantic Variations in Question Answering?
- Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors
- Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation
- On Almost-Sure Intention Deception Planning that Exploits Imperfect Observers
- Go-Explore Complex 3D Game Environments for Automated Reachability Testing
- Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction
- Model Transparency and Interpretability : Survey and Application to the Insurance Industry
- Unsupervised Simplification of Legal Texts
- Fast Fourier Convolution Based Remote Sensor Image Object Detection for Earth Observation
- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian
- Actor Prioritized Experience Replay
- Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations
- Complexity of Representations in Deep Learning
- Implicit and Efficient Point Cloud Completion for 3D Single Object Tracking
- The Neural Process Family: Survey, Applications and Perspectives
- Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular Simulation
- DRL Enabled Coverage and Capacity Optimization in STAR-RIS Assisted Networks
- Possibilities and Implications of the Multi-AI Competition
- Models and Benchmarks for Representation Learning of Partially Observed Subgraphs
- Environmental Claim Detection
- Quantum-Classical Hybrid Information Processing via a Single Quantum System
- TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning
- Towards Hexapod Gait Adaptation using Enumerative Encoding of Gaits: Gradient-Free Heuristics
- Focus-Driven Contrastive Learniang for Medical Question Summarization
- REMOT: A Region-to-Whole Framework for Realistic Human Motion Transfer
- Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods
- An Incremental Learning framework for Large-scale CTR Prediction
- Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis
- Fair learning with Wasserstein barycenters for non-decomposable performance measures
- Review of the AMLAS Methodology for Application in Healthcare
- MAPLE: Masked Pseudo-Labeling autoEncoder for Semi-supervised Point Cloud Action Recognition
- On the detection of morphing attacks generated by GANs
- Optimal Regularized Online Allocation by Adaptive Re-Solving
- A Unified Framework for Estimation of High-dimensional Conditional Factor Models
- TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut
- SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion
- Sample Efficient Learning of Factored Embeddings of Tensor Fields
- Hidden Author Bias in Book Recommendation
- KoCHET: a Korean Cultural Heritage corpus for Entity-related Tasks
- Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss
- Versatile Single-Loop Method for Gradient Estimator: First and Second Order Optimality, and its Application to Federated Learning
- Gait Recognition in the Wild with Multi-hop Temporal Switch
- Find the Funding: Entity Linking with Incomplete Funding Knowledge Bases
- Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization
- B'ezier Gaussian Processes for Tall and Wide Data
- Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
- Self-Supervised Pretraining for 2D Medical Image Segmentation
- Progressive Fusion for Multimodal Integration
- Generating Coherent Drum Accompaniment With Fills And Improvisations
- Large-Scale Auto-Regressive Modeling Of Street Networks
- Enhancing Semantic Understanding with Self-supervised Methods for Abstractive Dialogue Summarization
- Video-Guided Curriculum Learning for Spoken Video Grounding
- Combating Noisy Labels in Long-Tailed Image Classification
- Which anonymization technique is best for which NLP task? -- It depends. A Systematic Study on Clinical Text Processing
- Attention Enhanced Citrinet for Speech Recognition
- Deep Sparse Conformer for Speech Recognition
- Exploring Effective Information Utilization in Multi-Turn Topic-Driven Conversations
All 122
- MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment
- Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach
- The Geometry and Calculus of Losses
- Delving into the Frequency: Temporally Consistent Human Motion Transfer in the Fourier Space
- Hybrid Gromov-Wasserstein Embedding for Capsule Learning
- Trading Off Privacy, Utility and Efficiency in Federated Learning
- STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
- 1st Place Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: End-to-End Recognition of Out of Vocabulary Words
- PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration
- Isotropic Representation Can Improve Dense Retrieval
- A Genetic Algorithm-based Framework for Learning Statistical Power Manifold
- Public Parking Spot Detection And Geo-localization Using Transfer Learning
- Probabilistic Deduction: an Approach to Probabilistic Structured Argumentation
- An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters
- To Store or Not? Online Data Selection for Federated Learning with Limited Storage
- A Transferable Multi-stage Model with Cycling Discrepancy Learning for Lithium-ion Battery State of Health Estimation
- Federated Learning with Label Distribution Skew via Logits Calibration
- Hermes: Accelerating Long-Latency Load Requests via Perceptron-Based Off-Chip Load Prediction
- SketchBetween: Video-to-Video Synthesis for Sprite Animation via Sketches
- ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification
- Continuous-time Particle Filtering for Latent Stochastic Differential Equations
- CPS Attack Detection under Limited Local Information in Cyber Security: A Multi-node Multi-class Classification Ensemble Approach