Papers
Thu 1 Dec 2022
216 papers
- Diffusion Generative Models in Infinite DimensionsDiffusion models → Diffusion foundations and sampling
- 3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Analogical Math Word Problems Solving with Enhanced Problem-Solution AssociationLLM reasoning → Mathematical reasoning
- Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D GenerationDiffusion models → 3D, point cloud and scene generation
- Launchpad: Learning to Schedule Using Offline and Online RL MethodsOffline RL and imitation learning from data → Offline RL algorithms
- BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object DetectionKnowledge distillation → Detection and dense prediction distillation
- Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp MergingOffline RL and imitation learning from data → Safe offline RL
- Purifier: Defending Data Inference Attacks via Transforming Confidence ScoresLLM safety and security → Membership inference attacks
- Zero-Shot Image Restoration Using Denoising Diffusion Null-Space ModelDiffusion models → Inverse problems and image restoration
- IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response SelectionLLM reasoning → Knowledge- and tool-augmented reasoning
- Why Are Conditional Generative Models Better Than Unconditional Ones?Diffusion models → Diffusion foundations and sampling
- Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual ReasoningLLM reasoning → Multimodal reasoning
- VIDM: Video Implicit Diffusion ModelsDiffusion models → Video generation
- Shape-Guided Diffusion with Inside-Outside AttentionDiffusion models → Image generation, text-to-image and editing
- Distilling Reasoning Capabilities into Smaller Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning +1
- Multi-Task Imitation Learning for Linear Dynamical SystemsOffline RL and imitation learning from data → Imitation learning methods
- PiPar: Pipeline Parallelism for Collaborative Machine Learning
- Proceedings of the 1st International Workshop on Reading Music Systems
- BaCO: A Fast and Portable Bayesian Compiler Optimization Framework
- Synaptic Dynamics Realize First-order Adaptive Learning and Weight Symmetry
- Image-based Artificial Intelligence empowered surrogate model and shape morpher for real-time blank shape optimisation in the hot stamping process
- A Topological Deep Learning Framework for Neural Spike Decoding
- The Impact of Socioeconomic Factors on Health Disparities
- A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study
- Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics
- Re-evaluating sample efficiency in de novo molecule generation
- CHAPTER: Exploiting Convolutional Neural Network Adapters for Self-supervised Speech Models
- Clustering -- Basic concepts and methods
- Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels
- Surrogate Gradient Spiking Neural Networks as Encoders for Large Vocabulary Continuous Speech Recognition
- A General Purpose Supervisory Signal for Embodied Agents
- Navigating causal deep learning
- Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
- Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning
- Hierarchical Model Selection for Graph Neural Netoworks
- Nonlinear controllability and function representation by neural stochastic differential equations
- Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks
- Progressive Feature Upgrade in Semi-supervised Learning on Tabular Domain
- Pareto Regret Analyses in Multi-objective Multi-armed Bandit
- Investigating Deep Learning Model Calibration for Classification Problems in Mechanics
- Learning Robust State Observers using Neural ODEs (longer version)
- Modeling Mobile Health Users as Reinforcement Learning Agents
- An introduction to optimization under uncertainty -- A short survey
- A Model-based GNN for Learning Precoding
- a survey on GPT-3
- Risk-Adaptive Approaches to Stochastic Optimization: A Survey
- Reward Function Optimization of a Deep Reinforcement Learning Collision Avoidance System
- Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models
- SOLD: Sinhala Offensive Language Dataset
- When Neural Networks Fail to Generalize? A Model Sensitivity Perspective
- Weakly Supervised Annotations for Multi-modal Greeting Cards Dataset
- Focus! Relevant and Sufficient Context Selection for News Image Captioning
- UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding
- Generalizing Math Word Problem Solvers via Solution Diversification
- Applications of Lattice Gauge Equivariant Neural Networks
- Architectural Implications of Embedding Dimension during GCN on CPU and GPU
- On-device Training: A First Overview on Existing Systems
- Navigating an Ocean of Video Data: Deep Learning for Humpback Whale Classification in YouTube Videos
- An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis
- Scaling Language-Image Pre-training via Masking
- SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction
- Sparsity Agnostic Depth Completion
- An Attribute-based Method for Video Anomaly Detection
- Multi-Class Segmentation from Aerial Views using Recursive Noise Diffusion
- 3D Segmentation of Humans in Point Clouds with Synthetic Data
- Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs
- Improving Zero-Shot Models with Label Distribution Priors
- Second-order optimization with lazy Hessians
- Universe Points Representation Learning for Partial Multi-Graph Matching
- Fully-Dynamic Decision Trees
- ResFormer: Scaling ViTs with Multi-Resolution Training
- FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection
- Margin-based sampling in high dimensions: When being active is less efficient than staying passive
- Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks
- On Utilizing Relationships for Transferable Few-Shot Fine-Grained Object Detection
- Simplifying and Understanding State Space Models with Diagonal Linear RNNs
- Exploiting Proximity-Aware Tasks for Embodied Social Navigation
- High-dimensional density estimation with tensorizing flow
- P(Expression|Grammar): Probability of deriving an algebraic expression with a probabilistic context-free grammar
- Multimodal Query-guided Object Localization
- Learning Transition Operators From Sparse Space-Time Samples
- An exponentially-growing family of universal quantum circuits
- What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes
- High Dimensional Binary Classification under Label Shift: Phase Transition and Regularization
- Explainable Artificial Intelligence for Improved Modeling of Processes
- CliMedBERT: A Pre-trained Language Model for Climate and Health-related Text
- Shining light on data: Geometric data analysis through quantum dynamics
- Formal Controller Synthesis for Markov Jump Linear Systems with Uncertain Dynamics
- Adapted Multimodal BERT with Layer-wise Fusion for Sentiment Analysis
- Prasatul Matrix: A Direct Comparison Approach for Analyzing Evolutionary Optimization Algorithms
- Leveraging Large-scale Multimedia Datasets to Refine Content Moderation Models
- Hyperbolic Contrastive Learning for Visual Representations beyond Objects
- One-shot recognition of any material anywhere using contrastive learning with physics-based rendering
- Sub-quadratic Algorithms for Kernel Matrices via Kernel Density Estimation
- Finetune like you pretrain: Improved finetuning of zero-shot vision models
- Probably Approximate Shapley Fairness with Applications in Machine Learning
- Analyzing the State of Computer Science Research with the DBLP Discovery Dataset
- Vertical Federated Learning: A Structured Literature Review
- CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars
All 216
- Extensible Prompts for Language Models on Zero-shot Language Style Customization
- Online Learning-based Waveform Selection for Improved Vehicle Recognition in Automotive Radar
- NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation
- Exploiting Kernel Compression on BNNs
- Near Sample-Optimal Reduction-based Policy Learning for Average Reward MDP
- Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters
- When is Cognitive Radar Beneficial?
- Language models and brains align due to more than next-word prediction and word-level information
- Ghost-free High Dynamic Range Imaging via Hybrid CNN-Transformer and Structure Tensor
- Embedding generation for text classification of Brazilian Portuguese user reviews: from bag-of-words to transformers
- Long-Document Cross-Lingual Summarization
- Soft Labels for Rapid Satellite Object Detection
- GMM-IL: Image Classification using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes
- P2Net: A Post-Processing Network for Refining Semantic Segmentation of LiDAR Point Cloud based on Consistency of Consecutive Frames
- Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning
- Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion
- Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift
- A Structure-guided Effective and Temporal-lag Connectivity Network for Revealing Brain Disorder Mechanisms
- Early prediction of the risk of ICU mortality with Deep Federated Learning
- An Effective Deployment of Contrastive Learning in Multi-label Text Classification
- Fine-Grained Selective Similarity Integration for Drug-Target Interaction Prediction
- Graph Convolutional Neural Networks as Parametric CoKleisli morphisms
- Audio-Visual Activity Guided Cross-Modal Identity Association for Active Speaker Detection
- Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View
- EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks
- CL4CTR: A Contrastive Learning Framework for CTR Prediction
- CultureBERT: Measuring Corporate Culture With Transformer-Based Language Models
- Fairness in Multi-Agent Planning
- Crowd-level Abnormal Behavior Detection via Multi-scale Motion Consistency Learning
- Real-Time High-Quality Stereo Matching System on a GPU
- CUNI Systems for the WMT22 Czech-Ukrainian Translation Task
- Differentially-Private Data Synthetisation for Efficient Re-Identification Risk Control
- Enabling Fast Unit Commitment Constraint Screening via Learning Cost Model
- Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning
- CUNI Non-Autoregressive System for the WMT 22 Efficient Translation Shared Task
- Efficient stereo matching on embedded GPUs with zero-means cross correlation
- Implicit Mixture of Interpretable Experts for Global and Local Interpretability
- Embracing Annotation Efficient Learning (AEL) for Digital Pathology and Natural Images
- FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning
- Language Model Pre-training on True Negatives
- Disparity-based Stereo Image Compression with Aligned Cross-View Priors
- GrannGAN: Graph annotation generative adversarial networks
- Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Network
- MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection
- ViewNeRF: Unsupervised Viewpoint Estimation Using Category-Level Neural Radiance Fields
- ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation
- Regularization Trade-offs with Fake Features
- Multi-Source Survival Domain Adaptation
- Motion Informed Object Detection of Small Insects in Time-lapse Camera Recordings
- Linear Combinations of Patches are Unreasonably Effective for Single-Image Denoising
- A Comprehensive Study on Machine Learning Methods to Increase the Prediction Accuracy of Classifiers and Reduce the Number of Medical Tests Required to Diagnose Alzheimer'S Disease
- Rethinking Two Consensuses of the Transferability in Deep Learning
- From CNNs to Shift-Invariant Twin Models Based on Complex Wavelets
- Kick-motion Training with DQN in AI Soccer Environment
- Automated Coronary Arteries Labeling Via Geometric Deep Learning
- Proceedings of the 2nd International Workshop on Reading Music Systems
- Proceedings of the 3rd International Workshop on Reading Music Systems
- Domain Adaptive Scene Text Detection via Subcategorization
- A Noise-tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving
- Deep neural network techniques for monaural speech enhancement: state of the art analysis
- Ontomathedu Ontology Enrichment Method
- A Dataset with Multibeam Forward-Looking Sonar for Underwater Object Detection
- AstroSLAM: Autonomous Monocular Navigation in the Vicinity of a Celestial Small Body -- Theory and Experiments
- Semiconductor Defect Pattern Classification by Self-Proliferation-and-Attention Neural Network
- xEM: Explainable Entity Matching in Customer 360
- Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit
- 3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification
- Parametric Information Maximization for Generalized Category Discovery
- AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration
- AI Empowered Net-RCA for 6G
- Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images
- Differentially Private Learning with Per-Sample Adaptive Clipping
- HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning
- Hijack Vertical Federated Learning Models As One Party
- Concealed Object Detection for Passive Millimeter-Wave Security Imaging Based on Task-Aligned Detection Transformer
- Generalizing and Improving Jacobian and Hessian Regularization
- Differentially Private Adaptive Optimization with Delayed Preconditioners
- Decentralized Matrix Factorization with Heterogeneous Differential Privacy
- Multilingual Communication System with Deaf Individuals Utilizing Natural and Visual Languages
- Learning to Select from Multiple Options
- A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines
- Learning Markov Random Fields for Combinatorial Structures via Sampling through Lov'asz Local Lemma
- Scalable and adaptive variational Bayes methods for Hawkes processes
- The Effect of Data Dimensionality on Neural Network Prunability
- Component Segmentation of Engineering Drawings Using Graph Convolutional Networks
- Locally Adaptive Hierarchical Cluster Termination With Application To Individual Tree Delineation
- Hybrid Life: Integrating Biological, Artificial, and Cognitive Systems
- Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models
- GRiT: A Generative Region-to-text Transformer for Object Understanding
- ResNet Structure Simplification with the Convolutional Kernel Redundancy Measure
- On the Compatibility between Neural Networks and Partial Differential Equations for Physics-informed Learning
- Multi-view Tracking, Re-ID, and Social Network Analysis of a Flock of Visually Similar Birds in an Outdoor Aviary
- PIZZA: A new benchmark for complex end-to-end task-oriented parsing
- Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery
- Task Discovery: Finding the Tasks that Neural Networks Generalize on
- To think inside the box, or to think out of the box? Scientific discovery via the reciprocation of insights and concepts
- Face Animation with Multiple Source Images
- Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
- A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data
- CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection
- Inconsistency Ranking-based Noisy Label Detection for High-quality Data
- Inference of Media Bias and Content Quality Using Natural-Language Processing
- Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder
- Gated Recurrent Neural Networks with Weighted Time-Delay Feedback
- Learning Progressive Modality-shared Transformers for Effective Visible-Infrared Person Re-identification
- Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework
- Experimental Observations of the Topology of Convolutional Neural Network Activations
- Are you using test log-likelihood correctly?
- Physics-Constrained Generative Adversarial Networks for 3D Turbulence
- Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Deep Learning Image Classification
- A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process
- Clustering and Analysis of GPS Trajectory Data using Distance-based Features
- Data-Efficient Finetuning Using Cross-Task Nearest Neighbors
- Towards Practical Few-shot Federated NLP
- Mixed Neural Voxels for Fast Multi-view Video Synthesis
- Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have