Papers
Thu 30 Mar 2023
195 papers
- Self-Refine: Iterative Refinement with Self-FeedbackLLM reasoning → Test-time compute and efficient thinking
- Aligning a medium-size GPT model in English to a small closed domain in SpanishLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Vision-Language Modelling For Radiological Imaging and Reports In The Low Data RegimeMultimodal LLMs / vision-language models → Medical vision-language models
- Token Merging for Fast Stable DiffusionDiffusion models → Diffusion foundations and sampling +1
- Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion ModelsDiffusion models → Video generation
- Consistent View Synthesis with Pose-Guided Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- SoftCLIP: Softer Cross-modal Alignment Makes CLIP StrongerMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- DDP: Diffusion Model for Dense Visual PredictionDiffusion models → Image generation, text-to-image and editing
- DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion AutoencoderDiffusion models → Audio, speech and music
- PAIR-Diffusion: A Comprehensive Multimodal Object-Level Image EditorDiffusion models → Image generation, text-to-image and editing
- Asymmetric Image Retrieval with Cross Model Compatible EnsemblesKnowledge distillation → General knowledge distillation methods
- Steered Mixture of Experts Regression for Image Denoising with Multi-Model-InferenceMixture-of-experts → Vision mixture-of-experts
- Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical SolutionsOffline RL and imitation learning from data → Offline RL algorithms
- Complementary Random Masking for RGB-Thermal Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
- LayoutDiffusion: Controllable Diffusion Model for Layout-to-image GenerationDiffusion models → Image generation, text-to-image and editing
- Task-Oriented Multi-Modal Mutual Leaning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- KD-DLGAN: Data Limited Image Generation via Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from ObservationsOffline RL and imitation learning from data → Imitation learning methods
- Discriminative Class Tokens for Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case StudyDiffusion models → Diffusion for compression and wireless
- Mole Recruitment: Poisoning of Image Classifiers via Selective Batch SamplingLLM safety and security → Backdoor and data poisoning attacks
- DiffCollage: Parallel Generation of Large Content with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving AgentsLLM agents and tool use → Medical and scientific domain agents
- Can ChatGPT be used to generate scientific hypotheses?
- Online Ensemble Learning for Sector Rotation: A Gradient-Free Framework
- Social Biases through the Text-to-Image Generation Lens
- Object-agnostic Affordance Categorization via Unsupervised Learning of Graph Embeddings
- Synthesis of Mathematical programs from Natural Language Specifications
- Adaptive SpikeDeep-Classifier: Self-organizing and self-supervised machine learning algorithm for online spike sorting
- Optimized EEG based mood detection with signal processing and deep neural networks for brain-computer interface
- A Machine Learning Approach to Forecasting Honey Production with Tree-Based Methods
- Federated Learning Based Multilingual Emoji Prediction In Clean and Attack Scenarios
- QUADRo: Dataset and Models for QUestion-Answer Database Retrieval
- Unsupervised Word Segmentation Using Temporal Gradient Pseudo-Labels
- The Music Annotation Pattern
- The Music Note Ontology
- DRIP: Deep Regularizers for Inverse Problems
- Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant
- Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders
- TPMCF: Temporal QoS Prediction using Multi-Source Collaborative Features
- Contrastive-Signal-Dependent Plasticity: Self-Supervised Learning in Spiking Neural Circuits
- Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection
- Solving morphological analogies: from retrieval to generation
- Inferring networks from time series: a neural approach
- Deep neural operator for learning transient response of interpenetrating phase composites subject to dynamic loading
- A Note On Nonlinear Regression Under L2 Loss
- FairGen: Towards Fair Graph Generation
- Optimal Input Gain: All You Need to Supercharge a Feed-Forward Neural Network
- β4-IRT: A New β3-IRT with Enhanced Discrimination Estimation
- Evaluation of GPT and BERT-based models on identifying protein-protein interactions in biomedical text
- BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware
- Generating Adversarial Samples in Mini-Batches May Be Detrimental To Adversarial Robustness
- Why is the winner the best?
- Multiclass Online Learning and Uniform Convergence
- Mitigating Source Bias for Fairer Weak Supervision
- S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces
- What Types of Questions Require Conversation to Answer? A Case Study of AskReddit Questions
- Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem
- Why is plausibility surprisingly problematic as an XAI criterion?
- If At First You Don't Succeed: Test Time Re-ranking for Zero-shot, Cross-domain Retrieval
- Dual Cross-Attention for Medical Image Segmentation
- Task Oriented Conversational Modelling With Subjective Knowledge
- Learning Garment DensePose for Robust Warping in Virtual Try-On
- Fine-Tuning BERT with Character-Level Noise for Zero-Shot Transfer to Dialects and Closely-Related Languages
- Convex Hulls of Reachable Sets
- Neural signature kernels as infinite-width-depth-limits of controlled ResNets
- Utilizing Remote Sensing to Analyze Land Usage and Rice Planting Patterns
- MetaEnhance: Metadata Quality Improvement for Electronic Theses and Dissertations of University Libraries
- Establishing baselines and introducing TernaryMixOE for fine-grained out-of-distribution detection
- Progress towards an improved particle flow algorithm at CMS with machine learning
- Q-Learning based system for path planning with unmanned aerial vehicles swarms in obstacle environments
- Comparing Abstractive Summaries Generated by ChatGPT to Real Summaries Through Blinded Reviewers and Text Classification Algorithms
- Practical Policy Optimization with Personalized Experimentation
- Detecting and Grounding Important Characters in Visual Stories
- XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing
- Whether and When does Endoscopy Domain Pretraining Make Sense?
- Gaze-based Attention Recognition for Human-Robot Collaboration
- Data-driven abstractions via adaptive refinements and a Kantorovich metric [extended version]
- An evaluation of time series forecasting models on water consumption data: A case study of Greece
- Patterns Detection in Glucose Time Series by Domain Transformations and Deep Learning
- Utilizing Reinforcement Learning for de novo Drug Design
- Estimating Continuous Muscle Fatigue For Multi-Muscle Coordinated Exercise: A Pilot Study on Walking
- oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes
- AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
- SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
- NeRF-Supervised Deep Stereo
- Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
- When Learning Is Out of Reach, Reset: Generalization in Autonomous Visuomotor Reinforcement Learning
- Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
- Neglected Free Lunch -- Learning Image Classifiers Using Annotation Byproducts
- MobileInst: Video Instance Segmentation on the Mobile
- Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms
- Learning Human-to-Robot Handovers from Point Clouds
- Going Beyond Nouns With Vision & Language Models Using Synthetic Data
- TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions
- HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
- Online Learning and Disambiguations of Partial Concept Classes
- Elastic Weight Removal for Faithful and Abstractive Dialogue Generation
- Using AI to Measure Parkinson's Disease Severity at Home
All 195
- Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
- CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X
- Non-Invasive Fairness in Learning through the Lens of Data Drift
- BloombergGPT: A Large Language Model for Finance
- Recognition, recall, and retention of few-shot memories in large language models
- Whose Opinions Do Language Models Reflect?
- CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain Adaptation
- Q-fid: Quantum Circuit Fidelity Improvement with LSTM Networks
- Hindi as a Second Language: Improving Visually Grounded Speech with Semantically Similar Samples
- Learning in Factored Domains with Information-Constrained Visual Representations
- 3D Line Mapping Revisited
- Language Models can Solve Computer Tasks
- Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment
- On the Analysis of Computational Delays in Reinforcement Learning-based Rate Adaptation Algorithms
- Learning distributed representations with efficient SoftMax normalization
- PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation
- Surrogate Neural Networks for Efficient Simulation-based Trajectory Planning Optimization
- Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study
- Can I Trust My Simulation Model? Measuring the Quality of Business Process Simulation Models
- NN-Copula-CD: A Copula-Guided Interpretable Neural Network for Change Detection in Heterogeneous Remote Sensing Images
- All You Need Is Sex for Diversity
- Robust Multi-Agent Pickup and Delivery with Delays
- Semantic Image Translation for Repairing the Texture Defects of Building Models
- Removing supervision in semantic segmentation with local-global matching and area balancing
- P-Transformer: A Prompt-based Multimodal Transformer Architecture For Medical Tabular Data
- WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research
- Dynamic Conceptional Contrastive Learning for Generalized Category Discovery
- Explainable Intrusion Detection Systems Using Competitive Learning Techniques
- A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision
- SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling
- A BERT-based Unsupervised Grammatical Error Correction Framework
- Invertible Convolution with Symmetric Paddings
- DPP-based Client Selection for Federated Learning with Non-IID Data
- ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization
- PMatch: Paired Masked Image Modeling for Dense Geometric Matching
- Local region-learning modules for point cloud classification
- Topics in the Haystack: Extracting and Evaluating Topics beyond Coherence
- Yes but.. Can ChatGPT Identify Entities in Historical Documents?
- The impact of training dataset size and ensemble inference strategies on head and neck auto-segmentation
- Masked Autoencoders as Image Processors
- Sasaki Metric for Spline Models of Manifold-Valued Trajectories
- Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving
- JCDNet: Joint of Common and Definite phases Network for Weakly Supervised Temporal Action Localization
- Decomposed Cross-modal Distillation for RGB-based Temporal Action Detection
- Humans in Humans Out: On GPT Converging Toward Common Sense in both Success and Failure
- Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
- Ontology in Hybrid Intelligence: a concise literature review
- Fooling the Image Dehazing Models by First Order Gradient
- HDR Imaging with Spatially Varying Signal-to-Noise Ratios
- Demystifying Misconceptions in Social Bots Research
- Model-agnostic explainable artificial intelligence for object detection in image data
- Impact of Video Processing Operations in Deepfake Detection
- Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
- Shapley Chains: Extending Shapley Values to Classifier Chains
- Retrospective Motion Correction in Gradient Echo MRI by Explicit Motion Estimation Using Deep CNNs
- Kaizen: Practical Self-supervised Continual Learning with Continual Fine-tuning
- The Graphical Nadaraya-Watson Estimator on Latent Position Models
- Streaming Video Model
- FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation
- LatentForensics: Towards frugal deepfake detection in the StyleGAN latent space
- Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys
- HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices
- Few-shot Geometry-Aware Keypoint Localization
- SARGAN: Spatial Attention-based Residuals for Facial Expression Manipulation
- Human from Blur: Human Pose Tracking from Blurry Images
- SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision
- Sublinear Convergence Rates of Extragradient-Type Methods: A Survey on Classical and Recent Developments
- The Nordic Pile: A 1.2TB Nordic Dataset for Language Modeling
- Implicit View-Time Interpolation of Stereo Videos using Multi-Plane Disparities and Non-Uniform Coordinates
- A View From Somewhere: Human-Centric Face Representations
- Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation
- Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under Manhattan World Assumption
- Matrix diagonalization and singular value decomposition: Static SageMath and dynamic ChatGPT juxtaposed
- TreePiece: Faster Semantic Parsing via Tree Tokenization
- Mixed Autoencoder for Self-supervised Visual Representation Learning
- NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation
- DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving
- Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
- Online Camera-to-ground Calibration for Autonomous Driving
- C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation
- Adaptive Cross Batch Normalization for Metric Learning
- A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges
- Masked and Adaptive Transformer for Exemplar Based Image Translation
- TLAG: An Informative Trigger and Label-Aware Knowledge Guided Model for Dialogue-based Relation Extraction
- Reliable Representation Learning for Incomplete Multi-View Missing Multi-Label Classification
- Hierarchical Fine-Grained Image Forgery Detection and Localization
- Contextual Combinatorial Bandits with Probabilistically Triggered Arms
- Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models
- BEVFusion4D: Learning LiDAR-Camera Fusion Under Bird's-Eye-View via Cross-Modality Guidance and Temporal Aggregation
- ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
- Enhanced Stable View Synthesis
- OpenMix: Exploring Outlier Samples for Misclassification Detection
- Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization
- Machine Learning for Partial Differential Equations
- Viewpoint: A Theoretical Computer Science Perspective on Consciousness and Artificial General Intelligence