Papers
Tue 5 Dec 2023
270 papers
- Exploring Social Bias in Downstream Applications of Text-to-Image Foundation ModelsDiffusion models → Image generation, text-to-image and editing
- DiffusionAtlas: High-Fidelity Consistent Diffusion Video EditingDiffusion models → Video generation
- DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Visual Hindsight Self-Imitation Learning for Interactive NavigationOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
- FlexModel: A Framework for Interpretability of Distributed Large Language ModelsMechanistic interpretability → Knowledge and representations inside LLMs
- Evaluating Agents using Social Choice TheoryLLM agents and tool use → Social simulation and multi-agent debate
- LooseControl: Lifting ControlNet for Generalized Depth ConditioningDiffusion models → Image generation, text-to-image and editing
- Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Generating Interpretable Networks using HypernetworksMechanistic interpretability → Circuits and mechanistic analysis
- DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic ControlDiffusion models → Medical imaging and segmentation
- Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?End-to-end autonomous driving → End-to-end system architecture
- Stable Diffusion Exposed: Gender Bias from Prompt to ImageDiffusion models → Image generation, text-to-image and editing
- Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph ConstructionLLM agents and tool use → Web, search, and research agents
- DreamVideo: High-Fidelity Image-to-Video Generation with Image Retention and Text GuidanceDiffusion models → Video generation
- ReconFusion: 3D Reconstruction with Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- GPT4Point: A Unified Framework for Point-Language Understanding and GenerationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real WorldOffline RL and imitation learning from data → Imitation learning methods
- Alchemist: Parametric Control of Material Properties with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- AmbiGen: Generating Ambigrams from Pre-trained Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionDiffusion models → Image generation, text-to-image and editing +1
- LLaVA-Grounding: Grounded Visual Chat with Large Multimodal ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal ModelsLLM reasoning → Multimodal reasoning +1
- MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in SuperpositionMechanistic interpretability → Sparse autoencoder training and evaluation
- BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion ModelsDiffusion models → Video generation
- FG-MDM: Towards Zero-Shot Human Motion Generation via ChatGPT-Refined DescriptionsDiffusion models → Video generation
- Neural Sign Actors: A diffusion model for 3D sign language production from textDiffusion models → Sign language production
- Analyzing and Improving the Training Dynamics of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Diffusion-Based Speech Enhancement in Matched and Mismatched Conditions Using a Heun-Based SamplerDiffusion models → Audio, speech and music
- TPA3D: Triplane Attention for Fast Text-to-3D GenerationDiffusion models → 3D, point cloud and scene generation
- Rethinking and Simplifying Bootstrapped Graph LatentsSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion ModelsDiffusion models → Flow matching, time series and science
- ULMA: Unified Language Model Alignment with Human Demonstration and Point-wise PreferenceLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- GeNIe: Generative Hard Negative Images Through DiffusionDiffusion models → Image generation, text-to-image and editing
- Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- DRAFT: Dense Retrieval Augmented Few-shot Topic classifier FrameworkRetrieval-augmented generation → Generation and context integration
- Creative Agents: Empowering Agents with Imagination for Creative TasksLLM agents and tool use → General LLM agent frameworks and benchmarks
- Design and Evaluation of an Uncertainty-Aware Shared-Autonomy System with Hierarchical Conservative Skill InferenceOffline RL and imitation learning from data → Robot manipulation imitation learning
- EtC: Temporal Boundary Expand then Clarify for Weakly Supervised Video Grounding with Multimodal Large Language ModelMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Fast non-autoregressive inverse folding with discrete diffusionDiffusion models → Flow matching, time series and science
- Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor GenerationLLM reasoning → Reasoning benchmarks and evaluation
- Lenna: Language Enhanced Reasoning Detection AssistantLLM reasoning → Multimodal reasoning +1
- Orthogonal Adaptation for Modular Customization of Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- MATE-Pred: Multimodal Attention-based TCR-Epitope interaction Predictor
- Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance
- Liquid State Genetic Programming
- Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service
- Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms
- Teenagers and Artificial Intelligence: Bootcamp Experience and Lessons Learned
- Building Trustworthy NeuroSymbolic AI Systems: Consistency, Reliability, Explainability, and Safety
- Optimizing Fault-Tolerant Quality-Guaranteed Sensor Deployments for UAV Localization in Critical Areas via Computational Geometry
- All Rivers Run to the Sea: Private Learning with Asymmetric Flows
- Model Copyright Protection in Buyer-seller Environment
- Toward Energy-Efficient Massive MIMO: Graph Neural Network Precoding for Mitigating Non-Linear PA Distortion
- Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging
- GPT vs Human for Scientific Reviews: A Dual Source Review on Applications of ChatGPT in Science
- Unknown Sample Discovery for Source Free Open Set Domain Adaptation
- Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment
- Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning
- Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing
- Colour versus Shape Goal Misgeneralization in Reinforcement Learning: A Case Study
- Learning High-Dimensional Differential Graphs From Multi-Attribute Data
- How should the advent of large language models affect the practice of science?
- FERGI: Automatic Scoring of User Preferences for Text-to-Image Generation from Spontaneous Facial Expression Reaction
- Data-Driven Traffic Reconstruction and Kernel Methods for Identifying Stop-and-Go Congestion
- CaloQVAE : Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models
- Active Learning for Abrupt Shifts Change-point Detection via Derivative-Aware Gaussian Processes
- A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education
- Combining Counting Processes and Classification Improves a Stopping Rule for Technology Assisted Review
- Adaptive spectral graph wavelets for collaborative filtering
- Deep Learning for Fast Inference of Mechanistic Models' Parameters
- HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces
- Algorithmic Fairness with Feedback
- ViscoNet: Bridging and Harmonizing Visual and Textual Conditioning for ControlNet
- Multitask Learning Can Improve Worst-Group Outcomes
- Neural parameter calibration and uncertainty quantification for epidemic forecasting
- Maximum likelihood thresholds of Gaussian graphical models and graphical lasso
- A Hardware Evaluation Framework for Large Language Model Inference
- Predicting Bone Degradation Using Vision Transformer and Synthetic Cellular Microstructures Dataset
- Assertion Enhanced Few-Shot Learning: Instructive Technique for Large Language Models to Generate Educational Explanations
- The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning
- AI-SAM: Automatic and Interactive Segment Anything Model
- The Automated Bias Triangle Feature Extraction Framework
- Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI
- What Causes Polysemanticity? An Alternative Origin Story of Mixed Selectivity from Incidental Causes
- Understanding Environmental Posts: Sentiment and Emotion Analysis of Social Media Data
- RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor
- LLMs for Multi-Modal Knowledge Extraction and Analysis in Intelligence/Safety-Critical Applications
- ScAR: Scaling Adversarial Robustness for LiDAR Object Detection
- Clinical Notes Reveal Physician Fatigue
- Advantage of Quantum Machine Learning from General Computational Advantages
- Adaptive Multi-step Refinement Network for Robust Point Cloud Registration
- HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding
- MagicStick: Controllable Video Editing via Control Handle Transformations
- Diversified in-domain synthesis with efficient fine-tuning for few-shot classification
- Customization Assistant for Text-to-image Generation
- REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training
- Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation
- Inherent limitations of LLMs regarding spatial information
- Transformer-Based Deep Learning Model for Bored Pile Load-Deformation Prediction in Bangkok Subsoil
All 270
- Sample-based Dynamic Hierarchical Transformer with Layer and Head Flexibility via Contextual Bandit
- SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction
- LiDAR-based Person Re-identification
- ZeroReg: Zero-Shot Point Cloud Registration with Foundation Models
- Generating Visually Realistic Adversarial Patch
- HHAvatar: Gaussian Head Avatar with Dynamic Hairs
- Double Integral Enhanced Zeroing Neural Network Optimized with ALSOA fostered Lung Cancer Classification using CT Images
- Uni3DL: Unified Model for 3D and Language Understanding
- Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction
- Enhanced Breast Cancer Tumor Classification using MobileNetV2: A Detailed Exploration on Image Intensity, Error Mitigation, and Streamlit-driven Real-time Deployment
- AI-driven emergence of frequency information non-uniform distribution via THz metasurface spectrum prediction
- Protein Language Model-Powered 3D Ligand Binding Site Prediction from Protein Sequence
- PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation
- Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey
- Breast Ultrasound Report Generation using LangChain
- Dexterous Functional Grasping
- Describing Differences in Image Sets with Natural Language
- GauHuman: Articulated Gaussian Splatting from Monocular Human Videos
- Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models
- MVHumanNet: A Large-scale Dataset of Multi-view Daily Dressing Human Captures
- Detecting algorithmic bias in medical-AI models using trees
- Classification for everyone : Building geography agnostic models for fairer recognition
- Choroidalyzer: An open-source, end-to-end pipeline for choroidal analysis in optical coherence tomography
- Calibrating dimension reduction hyperparameters in the presence of noise
- Fast CT anatomic localization algorithm
- Drag-A-Video: Non-rigid Video Editing with Point-based Interaction
- WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation
- WhisBERT: Multimodal Text-Audio Language Modeling on 100M Words
- LivePhoto: Real Image Animation with Text-guided Motion Control
- MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning
- Fine-grained Controllable Video Generation via Object Appearance and Context
- Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration
- MIND: Multi-Task Incremental Network Distillation
- Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
- Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions
- Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers
- Rare Galaxy Classes Identified In Foundation Model Representations
- Deep Learning Segmentation of Spiral Arms and Bars
- HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting
- Concept Drift Adaptation in Text Stream Mining Settings: A Systematic Review
- Towards More Practical Group Activity Detection: A New Benchmark and Model
- DIPR: Efficient Point Cloud Registration via Dynamic Iteration
- Toward autocorrection of chemical process flowsheets using large language models
- Experimental Insights Towards Explainable and Interpretable Pedestrian Crossing Prediction
- Attention-enhanced neural differential equations for physics-informed deep learning of ion transport
- Can a Tabula Recta provide security in the XXI century?
- Semi-Supervised Health Index Monitoring with Feature Generation and Fusion
- Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring
- Towards Causal Representations of Climate Model Data
- Exploring Error Bits for Memory Failure Prediction: An In-Depth Correlative Study
- Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental Design of Known Systems
- A Kernel-Based Neural Network Test for High-dimensional Sequencing Data Analysis
- Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
- Are Vision Transformers More Data Hungry Than Newborn Visual Systems?
- Convergence Rates for Stochastic Approximation: Biased Noise with Unbounded Variance, and Applications
- Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault Diagnosis
- RotaTR: Detection Transformer for Dense and Rotated Object
- Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix
- Deterministic Guidance Diffusion Model for Probabilistic Weather Forecasting
- Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability
- Leveraging Domain Adaptation and Data Augmentation to Improve Qur'anic IR in English and Arabic
- Weakly Supervised Detection of Hallucinations in LLM Activations
- Materials Expert-Artificial Intelligence for Materials Discovery
- Machine Learning Driven Sensitivity Analysis of E3SM Land Model Parameters for Wetland Methane Emissions
- Large Language Models on Graphs: A Comprehensive Survey
- PMMTalk: Speech-Driven 3D Facial Animation from Complementary Pseudo Multi-modal Features
- Scaling Laws for Adversarial Attacks on Language Model Activations
- Learning "Look-Ahead" Nonlocal Traffic Dynamics in a Ring Road
- Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping
- C3: High-performance and low-complexity neural compression from a single image or video
- C-NERF: Representing Scene Changes as Directional Consistency Difference-based NeRF
- Compositional Generalization for Data-to-Text Generation
- LExCI: A Framework for Reinforcement Learning with Embedded Systems
- Towards Measuring Representational Similarity of Large Language Models
- R3D-SWIN:Use Shifted Window Attention for Single-View 3D Reconstruction
- Towards the Inferrence of Structural Similarity of Combinatorial Landscapes
- Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
- Large Knowledge Model: Perspectives and Challenges
- Unified learning-based lossy and lossless JPEG recompression
- MyPortrait: Morphable Prior-Guided Personalized Portrait Generation
- Revisit Human-Scene Interaction via Space Occupancy
- Enhancing Vehicle Entrance and Parking Management: Deep Learning Solutions for Efficiency and Security
- UPOCR: Towards Unified Pixel-Level OCR Interface
- DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors
- H-GAP: Humanoid Control with a Generalist Planner
- Contact Energy Based Hindsight Experience Prioritization
- Amortized Bayesian Decision Making for simulation-based models
- Are Synthetic Data Useful for Egocentric Hand-Object Interaction Detection?
- Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow
- Lights out: training RL agents robust to temporary blindness
- FaceStudio: Put Your Face Everywhere in Seconds
- A Self-Commissioning Edge Computing Method for Data-Driven Anomaly Detection in Power Electronic Systems
- Supervised learning of spatial features with STDP and homeostasis using Spiking Neural Networks on SpiNNaker
- Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciar'an
- What Machine Learning Can Do for Focusing Aerogel Detectors
- A Q-learning approach to the continuous control problem of robot inverted pendulum balancing
- SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting
- Synchronization is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video Pairs
- Diffusion Noise Feature: Accurate and Fast Generated Image Detection
- On the Initialization of Graph Neural Networks
- DreaMo: Articulated 3D Reconstruction From A Single Casual Video
- Facilitating the Production of Well-tailored Video Summaries for Sharing on Social Media
- Prompt Optimization via Adversarial In-Context Learning
- A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis
- Privacy-Aware Data Acquisition under Data Similarity in Regression Markets
- Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps
- Accelerating Learnt Video Codecs with Gradient Decay and Layer-wise Distillation
- Impact of Tokenization on LLaMa Russian Adaptation
- LSTSVR-PI: Least square twin support vector regression with privileged information
- FRAPPE: A Group Fairness Framework for Post-Processing Everything
- Text Intimacy Analysis using Ensembles of Multilingual Transformers
- Empathy and Distress Detection using Ensembles of Transformer Models
- An Integrated System for Spatio-Temporal Summarization of 360-degrees Videos
- UTBoost: Gradient Boosted Decision Trees for Uplift Modeling
- Prompt2NeRF-PIL: Fast NeRF Generation via Pretrained Implicit Latent
- Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
- Structured World Representations in Maze-Solving Transformers
- DanZero+: Dominating the GuanDan Game through Reinforcement Learning
- DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding
- On Optimal Consistency-Robustness Trade-Off for Learning-Augmented Multi-Option Ski Rental
- Graph Information Bottleneck for Remote Sensing Segmentation
- Characterization of Locality in Spin States and Forced Moves for Optimizations
- Explainable Severity ranking via pairwise n-hidden comparison: a case study of glaucoma
- Asymmetric leader-laggard cluster synchronization for collective decision-making with laser network
- Towards Open-set Gesture Recognition via Feature Activation Enhancement and Orthogonal Prototype Learning
- PolyFit: A Peg-in-hole Assembly Framework for Unseen Polygon Shapes via Sim-to-real Adaptation
- MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
- Towards Automatic Power Battery Detection: New Challenge, Benchmark Dataset and Baseline
- MASP: Scalable GNN-based Planning for Multi-Agent Navigation
- RetriBooru: Leakage-Free Retrieval of Conditions from Reference Images for Subject-Driven Generation
- Towards More Unified In-context Visual Understanding
- Simplifying Neural Network Training Under Class Imbalance
- mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs
- AV2AV: Direct Audio-Visual Speech to Audio-Visual Speech Translation with Unified Audio-Visual Speech Representation
- SAVE: Protagonist Diversification with Structure Agnostic Video Editing
- Inspecting Model Fairness in Ultrasound Segmentation Tasks
- MKA: A Scalable Medical Knowledge Assisted Mechanism for Generative Models on Medical Conversation Tasks
- ReconU-Net: a direct PET image reconstruction using U-Net architecture with back projection-induced skip connection
- Flexible Communication for Optimal Distributed Learning over Unpredictable Networks
- Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Advanced Manufacturing
- Constrained Twin Variational Auto-Encoder for Intrusion Detection in IoT Systems
- Learning to Holistically Detect Bridges from Large-Size VHR Remote Sensing Imagery
- Differentiable Point-based Inverse Rendering
- RL-Based Cargo-UAV Trajectory Planning and Cell Association for Minimum Handoffs, Disconnectivity, and Energy Consumption
- NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams
- Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks
- Generator Born from Classifier
- Learning Energy-based Model via Dual-MCMC Teaching
- SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints
- Dimensionality Reduction and Dynamical Mode Recognition of Circular Arrays of Flame Oscillators Using Deep Neural Network
- GIT-Net: Generalized Integral Transform for Operator Learning
- E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation
- MedDM:LLM-executable clinical guidance tree for clinical decision-making
- Adaptive Instrument Design for Indirect Experiments
- GDN: A Stacking Network Used for Skin Cancer Diagnosis
- MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following
- FINER: Flexible spectral-bias tuning in Implicit NEural Representation by Variable-periodic Activation Functions
- Visually Grounded Language Learning: a review of language games, datasets, tasks, and models
- PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models
- FreestyleRet: Retrieving Images from Style-Diversified Queries
- Repurposing SAM for User-Defined Semantics Aware Segmentation
- Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data
- Near-Optimal Mean Estimation with Unknown, Heteroskedastic Variances
- Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor
- MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR
- Robust Clustering using Hyperdimensional Computing
- Efficient Online Data Mixing For Language Model Pre-Training
- BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks
- Enhancing Content Moderation with Culturally-Aware Models
- DP-SGD-Global-Adapt-V2-S: Triad Improvements of Privacy, Accuracy and Fairness via Step Decay Noise Multiplier and Step Decay Upper Clipping Threshold