Papers
Thu 31 Mar 2022
201 papers
- Data-augmented cross-lingual synthesis in a teacher-student frameworkKnowledge distillation → Speech and audio distillation
- Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?LLM reasoning → Multimodal reasoning +1
- BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal TransformersWorld models → World models for autonomous driving
- A Closer Look at Rehearsal-Free Continual LearningKnowledge distillation → Distillation for continual learning
- Generating High Fidelity Data from Low-density Regions using Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- kNN-NER: Named Entity Recognition with Nearest Neighbor SearchRetrieval-augmented generation → Generation and context integration
- Speech Enhancement with Score-Based Generative Models in the Complex STFT DomainDiffusion models → Audio, speech and music
- Equivariant Diffusion for Molecule Generation in 3DDiffusion models → Flow matching, time series and science
- Self-distillation Augmented Masked Autoencoders for Histopathological Image ClassificationKnowledge distillation → Distillation for medical imaging
- Towards Driving-Oriented Metric for Lane Detection ModelsEnd-to-end autonomous driving → VLMs for autonomous driving
- TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral ShapingDiffusion models → Audio, speech and music
- Scaling Language Model Size in Cross-Device Federated Learning
- Generative Pre-Trained Transformers for Biologically Inspired Design
- TropeTwist: Trope-based Narrative Structure Generation
- Leveraging pre-trained language models for conversational information seeking from text
- Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering
- Deep Learning for Spectral Filling in Radio Frequency Applications
- Criacc~ao e aplicacc~ao de ferramenta para auxiliar no ensino de algoritmos e programacc~ao de computadores
- Bayesian Image Super-Resolution with Deep Modeling of Image Statistics
- Universal Lymph Node Detection in T2 MRI using Neural Networks
- Maze Learning using a Hyperdimensional Predictive Processing Cognitive Architecture
- 1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality
- Model Predictive Control for Fluid Human-to-Robot Handovers
- Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation
- VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition
- Perceptual Quality Assessment of UGC Gaming Videos
- GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing
- Synthesis of Stabilizing Recurrent Equilibrium Network Controllers
- Visual-Tactile Multimodality for Following Deformable Linear Objects Using Reinforcement Learning
- A Survey of Robust 3D Object Detection Methods in Point Clouds
- Scalable Whitebox Attacks on Tree-based Models
- Dynamic Multimodal Fusion
- TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization
- Tooth Instance Segmentation on Panoramic Dental Radiographs Using U-Nets and Morphological Processing
- Efficient Maximal Coding Rate Reduction by Variational Forms
- Automatic Classification of Alzheimer's Disease using brain MRI data and deep Convolutional Neural Networks
- rfPhen2Gen: A machine learning based association study of brain imaging phenotypes to genotypes
- SimPO: Simultaneous Prediction and Optimization
- SELFIES and the future of molecular string representations
- Digitizing Historical Balance Sheet Data: A Practitioner's Guide
- AKF-SR: Adaptive Kalman Filtering-based Successor Representation
- Efficient Active Learning with Abstention
- A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation
- Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets
- Improving Adversarial Transferability via Neuron Attribution-Based Attacks
- Data Sampling Affects the Complexity of Online SGD over Dependent Data
- Graph-based Active Learning for Semi-supervised Classification of SAR Data
- Bringing Old Films Back to Life
- DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
- Exploring Visual Prompts for Adapting Large-Scale Models
- FindIt: Generalized Localization with Natural Language Queries
- MyStyle: A Personalized Generative Prior
- TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing
- A 23 MW data centre is all you need
- Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis
- R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
- Modeling Long-Term Memory and Temporal Attention Shifts for Video Salient Object Ranking with a New Benchmark
- Continuous Scene Representations for Embodied AI
- ImpDet: Exploring Implicit Fields for 3D Object Detection
- Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions
- Performative Power
- A Baseline Readability Model for Cebuano
- SimVQA: Exploring Simulated Environments for Visual Question Answering
- Improved Relation Networks for End-to-End Speaker Verification and Identification
- On the probability-quality paradox in language generation
- Analyzing Wrap-Up Effects through an Information-Theoretic Lens
- Adversarial Examples in Random Neural Networks with General Activations
- Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy
- CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers
- Learning from many trajectories
- Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion
- Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to Speech
- Scaling Up Models and Data with textttt5x and textttseqio
- 3D Equivariant Graph Implicit Functions
- On the Evaluation of NLP-based Models for Software Engineering
- Quantum open system identification via global optimization: Optimally accurate Markovian models of open systems from time-series data
- Preventing Over-Smoothing for Hypergraph Neural Networks
- Adaptive Mean-Residue Loss for Robust Facial Age Estimation
- Predicting extreme events from data using deep machine learning: when and where
- An energy-based deep splitting method for the nonlinear filtering problem
- Perceptual Contrast Stretching on Target Feature for Speech Enhancement
- Online Learning for Traffic Routing under Unknown Preferences
- AEGNN: Asynchronous Event-based Graph Neural Networks
- Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors
- Neural Q-learning for solving PDEs
- Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback for Unbiased Learning to Rank
- Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data
- Impact of Environmental Noise on Alzheimer's Disease Detection from Speech: Should You Let a Baby Cry?
- A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process
- PanGu-Bot: Efficient Generative Dialogue Pre-training from Pre-trained Language Model
- Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines
- RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis
- Interpretation of Black Box NLP Models: A Survey
- Scientific and Technological Text Knowledge Extraction Method of based on Word Mixing and GRU
- Deep Hyperspectral Unmixing using Transformer Network
- Manipulation of oral cancer speech using neural articulatory synthesis
- Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
- CADG: A Model Based on Cross Attention for Domain Generalization
- Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition
All 201
- Wind Farm Layout Optimisation using Set Based Multi-objective Bayesian Optimisation
- Certified machine learning: A posteriori error estimation for physics-informed neural networks
- BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection
- IITD-DBAI: Multi-Stage Retrieval with Pseudo-Relevance Feedback and Query Reformulation
- Partial Coupling of Optimal Transport for Spoken Language Identification
- Adversarial Speaker Distillation for Countermeasure Model on Automatic Speaker Verification
- Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
- Differentially Private Federated Learning via Reconfigurable Intelligent Surface
- Flat-topped Probability Density Functions for Mixture Models
- CTA-RNN: Channel and Temporal-wise Attention RNN Leveraging Pre-trained ASR Embeddings for Speech Emotion Recognition
- Logit Normalization for Long-tail Object Detection
- DeepFry: Identifying Vocal Fry Using Deep Neural Networks
- A Temporal Learning Approach to Inpainting Endoscopic Specularities and Its effect on Image Correspondence
- A Temporal-oriented Broadcast ResNet for COVID-19 Detection
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
- Conditional Autoregressors are Interpretable Classifiers
- SingAug: Data Augmentation for Singing Voice Synthesis with Cycle-consistent Training Strategy
- Measuring hand use in the home after cervical spinal cord injury using egocentric video
- Message Passing Neural Networks for Hypergraphs
- Acoustic-Net: A Novel Neural Network for Sound Localization and Quantification
- Analyzing the factors affecting usefulness of Self-Supervised Pre-trained Representations for Speech Recognition
- Human Instance Segmentation and Tracking via Data Association and Single-stage Detector
- PADA: Pruning Assisted Domain Adaptation for Self-Supervised Speech Representations
- An End-to-end Chinese Text Normalization Model based on Rule-guided Flat-Lattice Transformer
- Multimodal Fusion Transformer for Remote Sensing Image Classification
- Semantic Pose Verification for Outdoor Visual Localization with Self-supervised Contrastive Learning
- A data-driven approach for the closure of RANS models by the divergence of the Reynolds Stress Tensor
- A unified theory of learning
- Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs
- Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs
- HiFi-VC: High Quality ASR-Based Voice Conversion
- Learning from few examples with nonlinear feature maps
- Contributions to interframe coding
- Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond
- WavThruVec: Latent speech representation as intermediate features for neural speech synthesis
- Neural Architecture Search for Speech Emotion Recognition
- Applying PBL in the Development and Modeling of kinematics for Robotic Manipulators with Interdisciplinarity between Computer-Assisted Project, Robotics, and Microcontrollers
- Domain Adaptation for Sparse-Data Settings: What Do We Gain by Not Using Bert?
- Aplicacc~ao de ros como ferramenta de ensino a rob'otica / using ros as a robotics teaching tool
- A Character-level Span-based Model for Mandarin Prosodic Structure Prediction
- Assessing the risk of re-identification arising from an attack on anonymised data
- A Dataset of Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques
- MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation
- End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps
- Semantic-shape Adaptive Feature Modulation for Semantic Image Synthesis
- Multi-Granularity Alignment Domain Adaptation for Object Detection
- CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow
- Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds
- A survey of neural models for the automatic analysis of conversation: Towards a better integration of the social sciences
- Mutual information estimation for graph convolutional neural networks
- A bilingual approach to specialised adjectives through word embeddings in the karstology domain
- MPS-NeRF: Generalizable 3D Human Rendering from Multiview Images
- An Optimal Control Method to Compute the Most Likely Transition Path for Stochastic Dynamical Systems with Jumps
- Ransomware Detection using Process Memory
- Memory-Efficient Training of RNN-Transducer with Sampled Softmax
- Investigating Modality Bias in Audio Visual Video Parsing
- JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech
- Revisiting Document Image Dewarping by Grid Regularization
- Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset
- Speaker Extraction with Co-Speech Gestures Cue
- A Comparative Study on Speaker-attributed Automatic Speech Recognition in Multi-party Meetings
- Point Scene Understanding via Disentangled Instance Mesh Reconstruction
- Rethinking Portrait Matting with Privacy Preserving
- indic-punct: An automatic punctuation restoration and inverse text normalization framework for Indic languages
- Effectiveness of text to speech pseudo labels for forced alignment and cross lingual pretrained models for low resource speech recognition
- How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications
- Minimum mean-squared error estimation with bandit feedback
- BRIO: Bringing Order to Abstractive Summarization
- Robust Meta-Reinforcement Learning with Curriculum-Based Task Sampling
- Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization
- M-MELD: A Multilingual Multi-Party Dataset for Emotion Recognition in Conversations
- Ternary and Binary Quantization for Improved Classification
- When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
- Deformable Video Transformer
- MMER: Multimodal Multi-task Learning for Speech Emotion Recognition
- ESGBERT: Language Model to Help with Classification Tasks Related to Companies Environmental, Social, and Governance Practices
- Reflection and Rotation Symmetry Detection via Equivariant Learning
- Video-Text Representation Learning via Differentiable Weak Temporal Alignment
- Weakly Supervised Patch Label Inference Networks for Efficient Pavement Distress Detection and Recognition in the Wild
- Misogynistic Meme Detection using Early Fusion Model with Graph Network
- A Pixel-based Encryption Method for Privacy-Preserving Deep Learning Models
- ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval
- Mask Atari for Deep Reinforcement Learning as POMDP Benchmarks
- An Empirical Study of Language Model Integration for Transducer based Speech Recognition
- Bangla hate speech detection on social media using attention-based recurrent neural network
- SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks
- Learning Decoupling Features Through Orthogonality Regularization
- LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints
- ReSTR: Convolution-free Referring Image Segmentation Using Transformers
- SpatioTemporal Focus for Skeleton-based Action Recognition
- CREATE: A Benchmark for Chinese Short Video Retrieval and Title Generation
- MeMOT: Multi-Object Tracking with Memory
- CUSIDE: Chunking, Simulating Future Context and Decoding for Streaming ASR
- Exploiting Single-Channel Speech for Multi-Channel End-to-End Speech Recognition: A Comparative Study
- Casual 6-DoF: free-viewpoint panorama using a handheld 360 camera
- Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models
- Personalized Image Aesthetics Assessment with Rich Attributes
- An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers
- How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis
- Improving speaker de-identification with functional data analysis of f0 trajectories
- Exploiting Explainable Metrics for Augmented SGD