yusuke1997/dblp-id-title huggingface dataset:
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D
Multi-level Protein Structure Pre-training via Prompt Learning
Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision
Shared-AE: Automatic Identification of Shared Subspaces in High-dimensional Neural and Behavioral Activity
R4D: Utilizing Reference Objects for Long-Range Distance Estimation
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
TD-MPC2: Scalable, Robust World Models for Continuous Control
Extending Robust Adversarial Reinforcement Learning Considering Adaptation and Diversity
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation
On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples
Lost or Liberated? A Dive into Bidirectional Transformer LMs Without Positional Encoding
Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond)
ADAM: An Embodied Causal Agent in Open-World Environments
Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets
Detecting Backdoor Samples in Contrastive Language Image Pretraining
KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks
Halton Scheduler for Masked Generative Image Transformer
Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Indirect Gradient Matching for Adversarial Robust Distillation
Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains
Doubly robust identification of treatment effects from multiple environments
Can Graph Neural Networks learn node-level structural features?
Prompting GPT-3 To Be Reliable
Sufficient conditions for offline reactivation in recurrent neural networks
CoRTX: Contrastive Framework for Real-time Explanation
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
Masked Distillation with Receptive Tokens
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
RobuRCDet: Enhancing Robustness of Radar-Camera Fusion in Bird's Eye View for 3D Object Detection
Combinatorial Attacks on Binarized Neural Networks
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks
Tailoring Self-Rationalizers with Multi-Reward Distillation
Model-Based Offline Meta-Reinforcement Learning with Regularization
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling
MIRACLE 3D: Memory-efficient Integrated Robust Approach for Continual Learning on 3D Point Clouds via Shape Model Construction
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis
To Relieve Your Headache of Training an MRF, Take AdVIL
LancBiO: Dynamic Lanczos-aided Bilevel Optimization via Krylov Subspace
Federated Few-Shot Class-Incremental Learning
GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
Asynchronous Gradient Play in Zero-Sum Multi-agent Games
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources
Variational oracle guiding for reinforcement learning
Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes
Efficient Perplexity Bound and Ratio Matching in Discrete Diffusion Language Models
Meta-Learning Priors Using Unrolled Proximal Networks
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning
Critical Learning Periods in Deep Networks
Language Model Beats Diffusion - Tokenizer is key to visual generation
From Commands to Prompts: LLM-based Semantic File System for AIOS
SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training
One for all and all for one: Efficient computation of partial Wasserstein distances on the line
Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks
Learning Grounded Action Abstractions from Language
Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models
DHER: Hindsight Experience Replay for Dynamic Goals
Robustness Inspired Graph Backdoor Defense
SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches
Co3Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning
Learning with Stochastic Orders
MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
Implicit bias of SGD in L2-regularized linear DNNs: One-way jumps from high to low rank
An Asynchronous Bundle Method for Distributed Learning Problems
Trusted Multi-View Classification via Evolutionary Multi-View Fusion
The AdEMAMix Optimizer: Better, Faster, Older
Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
Recurrent Hidden Semi-Markov Model
Label Leakage and Protection in Two-party Split Learning
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
Pursuit Policies in Dynamic Environments
Enhancing Learning with Label Differential Privacy by Vector Approximation
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
Proof Artifact Co-Training for Theorem Proving with Language Models
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer
Salient ImageNet: How to discover spurious features in Deep Learning?
Frequency-Aware Transformer for Learned Image Compression
Query-Reduction Networks for Question Answering
Instance-dependent Early Stopping
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video
Temporal Reasoning Transfer from Text to Video
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
A Kernel Perspective of Skip Connections in Convolutional Networks
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments
ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models
Theory on Mixture-of-Experts in Continual Learning
Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation
Jamba: Hybrid Transformer-Mamba Language Models
2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Workshop Track Proceedings
Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition
Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation
Learning a Latent Search Space for Routing Problems using Variational Autoencoders
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
EEC: Learning to Encode and Regenerate Images for Continual Learning
The 3D-PC: a benchmark for visual perspective taking in humans and machines
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
Towards Calibrated Deep Clustering Network
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching
What learning algorithm is in-context learning? Investigations with linear models
Generative Scene Graph Networks
Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design
Addressing Label Shift in Distributed Learning via Entropy Regularization​
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control
No Training Required: Exploring Random Encoders for Sentence Classification
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning
What does automatic differentiation compute for neural networks?
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
How do ConvNets Understand Image Intensity?
Weighted Clock Logic Point Process
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows
Representational Dissimilarity Metric Spaces for Stochastic Neural Networks
Learning what and where to attend
I Can Hear You: Selective Robust Training for Deepfake Audio Detection
A Sanity Check for AI-generated Image Detection
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent
Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery
S4M: S4 for multivariate time series forecasting with Missing values
CtD: Composition through Decomposition in Emergent Communication
A Framework for robustness Certification of Smoothed Classifiers using F-Divergences
What Algorithms can Transformers Learn? A Study in Length Generalization
Dataset Inference: Ownership Resolution in Machine Learning
Tree Cross Attention
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
ClawMachine: Learning to Fetch Visual Tokens for Referential Comprehension
Composable Interventions for Language Models
Deep Audio Priors Emerge From Harmonic Convolutional Networks
High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders
IMITATION LEARNING USING THE FORWARD-FORWARD ALGORITHM
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge
Identification of Intermittent Temporal Latent Process
Large Language Models Often Say One Thing and Do Another
Information Plane Analysis for Dropout Neural Networks
Conformal Structured Prediction
Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds
Overcoming The Spectral Bias of Neural Value Approximation
Class Normalization for (Continual)? Generalized Zero-Shot Learning
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion
Asynchronous Distributed Bilevel Optimization
Compute-Optimal LLMs Provably Generalize Better with Scale
Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum
Online-to-Offline RL for Agent Alignment
SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
Stratospheric Aerosols: Establishing a Novel Optical Thickness Benchmark for Effective Climate Change Mitigation
Learning Group Importance using the Differentiable Hypergeometric Distribution
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms
Valid P-Value for Deep Learning-driven Salient Region
Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling
Diffusion Probabilistic Fields
Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs
Causal Balancing for Domain Generalization
8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020
Multi-session, multi-task neural decoding from distinct cell-types and brain regions
StructPool: Structured Graph Pooling via Conditional Random Fields
Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus
Neural Bregman Divergences for Distance Learning
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
Encryption-Friendly LLM Architecture
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data
Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition
Prototype antithesis for biological few-shot class-incremental learning
On Explaining Neural Network Robustness with Activation Path
Auxiliary Learning by Implicit Differentiation
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
Fast and unified path gradient estimators for normalizing flows
Active Hierarchical Exploration with Stable Subgoal Representation Learning
Explaining the Efficacy of Counterfactually Augmented Data
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
Conditional Negative Sampling for Contrastive Learning of Visual Representations
Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification
Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation
Meta-Learning of Structured Task Distributions in Humans and Machines
Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information
Doubly Robust Instance-Reweighted Adversarial Training
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
Sparse Learning for State Space Models on Mobile
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations
Why adversarial training can hurt robust accuracy
Provable Offline Preference-Based Reinforcement Learning
ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
Local Search Algorithms for Rank-Constrained Convex Optimization
Associative memory and dead neurons
Flow-based Variational Mutual Information: Fast and Flexible Approximations
GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Reveal Object in Lensless Photography via Region Gaze and Amplification
Finding Shared Decodable Concepts and their Negations in the Brain
Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift
The High-Dimensional Geometry of Binary Neural Networks
Masked Structural Growth for 2x Faster Language Model Pre-training
SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation
The Complexity of Two-Team Polymatrix Games with Independent Adversaries
Neural Network Approximation based on Hausdorff distance of Tropical Zonotopes
Long Expressive Memory for Sequence Modeling
Window Attention is Bugged: How not to Interpolate Position Embeddings
Revisiting Multi-Permutation Equivariance through the Lens of irreducible Representations
A Deep Reinforced Model for Abstractive Summarization
Divisive Feature Normalization Improves Image Recognition Performance in AlexNet
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification
Contrastive Difference Predictive Coding
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
Understanding Zero-shot Adversarial Robustness for Large-Scale Models
Maximum Entropy Flow Networks
Protein Multimer Structure Prediction via Prompt Learning
Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
Bi-linear Value Networks for Multi-goal Reinforcement Learning
Bridge the Inference Gaps of Neural Processes via Expectation Maximization
Towards Evaluating the Robustness of Neural Networks Learned by Transduction
DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation
Fidelity of Interpretability Methods and Perturbation Artifacts in Neural Networks
Memory Augmented Optimizers for Deep Learning
Learning model uncertainty as variance-minimizing instance weights
Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making
Scalable and Effective Implicit Graph Neural Networks on Large Graphs
Sparse MoE with Language Guided Routing for Multilingual Machine Translation
The Deep Weight Prior
Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
Improving GANs Using Optimal Transport
Kernel of CycleGAN as a principal homogeneous space
CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection
ZETA: Leveraging Z-order Curves for Efficient Top-k Attention
MT-Ranker: Reference-free machine translation evaluation by inter-system ranking
Large Language Models as Automated Aligners for benchmarking Vision-Language Models
Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics
What to align in multimodal contrastive learning?
ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization
Diverse Client Selection for Federated Learning via Submodular Maximization
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
The Computational Complexity of Positive Non-Clashing Teaching in Graphs
Geometric Insights into the Convergence of Nonlinear TD Learning
ChatPainter: Improving Text to Image Generation using Dialogue
A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution
MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions
Observations on Building RAG Systems for Technical Documents
Complement Objective Training
Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces
Robot Fleet Learning via Policy Merging
Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer
4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings
MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
Uncertainty Herding: One Active Learning Method for All Label Budgets
MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks
Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering
An Analysis of Transferability in Network Intrusion Detection using Distributed Deep Learning
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Temporal Dependencies in Feature Importance for Time Series Prediction
A Novel Two-stage Model with Cross-Level Contrastive Learning for Text-VQA
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
An Optimization View on Dynamic Routing Between Capsules
Improving Deep Regression with Ordinal Entropy
Graph-based Nearest Neighbor Search in Hyperbolic Spaces
Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
Improving the imputation of missing data with Markov Blanket discovery
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
not-MIWAE: Deep Generative Modelling with Missing not at Random Data
Diverse Preference Learning for Capabilities and Alignment
Input-gradient space particle inference for neural network ensembles
Joint Shapley values: a measure of joint feature importance
Text-to-Image Rectified Flow as Plug-and-Play Priors
HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving
Neural Functions for Learning Periodic Signal
RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs
ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs
Trusted Multi-View Classification
3D-Scene-GAN: Three-dimensional Scene Reconstruction with Generative Adversarial Networks
Continual Learning with Bayesian Neural Networks for Non-Stationary Data
Lossy Compression with Pretrained Diffusion Models
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search
Evaluating Model-Based Planning and Planner Amortization for Continuous Control
Human-inspired Episodic Memory for Infinite Context LLMs
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
Diversity-Sensitive Conditional Generative Adversarial Networks
Redefining the task of Bioactivity Prediction
ShakeDrop regularization
Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields
See What You Are Told: Visual Attention Sink in Large Multimodal Models
Calibration of Neural Networks using Splines
PAC Confidence Predictions for Deep Neural Network Classifiers
Meaning Representations from Trajectories in Autoregressive Models
STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models
FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models
Adversarial Attacks on Adversarial Bandits
Scale Efficiently: Insights from Pretraining and Finetuning Transformers
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields
Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy
Continuous-Time Meta-Learning with Forward Mode Differentiation
Truth or backpropaganda? An empirical investigation of deep learning theory
Localized Randomized Smoothing for Collective Robustness Certification
NarrativeBridge: Enhancing Video Captioning with Causal-Temporal Narrative
Effect of training fragment length on Transformers in text complexity prediction
Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization