Papers
12094 papers
ICLR2024
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy
Summary pending...
Pure Differential PrivacyMonte Carlo samplingGaussian Differential Privacy
ICLR2024
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
Summary pending...
Chain of thoughtlanguage modelingcircuit complexity
ICLR2024
The Consensus Game: Language Model Generation via Equilibrium Search
Summary pending...
language modelsdecodingplanning
ICLR2024
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation
Summary pending...
text-to-image generationtext-to-image evaluationDavidsonian semantics
ICLR2024
Neural-Symbolic Recursive Machine for Systematic Generalization
Summary pending...
Neuro-symbolic AISystematic GeneralizationCompositional Generalization
ICLR2024
Structural Fairness-aware Active Learning for Graph Neural Networks
Summary pending...
Active LearningGraph Neural NetworksStructural Fairness
ICLR2024
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry
Summary pending...
linear attentiontransformers
ICLR2024
Generalization in diffusion models arises from geometry-adaptive harmonic representations
Summary pending...
diffusion modelsmemorizationgeneralization
ICLR2024
Scaling physics-informed hard constraints with mixture-of-experts
Summary pending...
Physics-Informed Machine LearningPDEsdifferentiable optimization
ICLR2024
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
Summary pending...
Forecasting; Time Series; Large Language Model
ICLR2024
Exploring the Promise and Limits of Real-Time Recurrent Learning
Summary pending...
recurrent neural networksreal-time recurrent learningonline recurrent learning
ICLR2024
Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations
Summary pending...
Instruction tuningLarge language modelsBERT family
ICLR2024
UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
Summary pending...
XAIUnsupervised node representation learningCounterfactual Explanations
ICLR2024
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels
Summary pending...
Depthwise ConvolutionsExplainabilityNeuroscience
ICLR2024
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech
Summary pending...
text-to-speechspeech synthesisneural audio codec
ICLR2024
Large Language Models as Automated Aligners for benchmarking Vision-Language Models
Summary pending...
LLMsVLMsBenchmark
ICLR2024
Federated Q-Learning: Linear Regret Speedup with Low Communication Cost
Summary pending...
Federated LearningReinforcement LearningQ-Learning
ICLR2024
On the Role of Discrete Tokenization in Visual Representation Learning
Summary pending...
Self-supervised learningMasked image modelingDiscrete visual token
ICLR2024
On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks
Summary pending...
Semidefinite programmingLipschitz constantDeep learning
ICLR2024
Graph Transformers on EHRs: Better Representation Improves Downstream Performance
Summary pending...
transformersgraph neural networkselectronic health records